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Личный ИИ-ассистент на ваших данных. Часть 1: Векторная база ChromaDB + DeepSeek | GPT

Друзья, приветствую! Сегодня я хотел бы рассмотреть интересующую многих тему, а именно связку большой языковой модели по типу DeepSeek или ChatGPT со своей базой знаний.

В рамках этой статьи я дам вам подробное объяснение принципов работы векторных баз данных и того, зачем их можно использовать в рамках связки своей базы знаний с готовыми «большими» нейросетями.

В качестве примера рассмотрим поиск по документации Amvera Cloud — облачной платформы со встроенным проксированием к OpenAI, Gemini, Claude, Grok, а также с возможностью обновления проектов через git push.

Мы сейчас активно разрабатываем ИИ-агента, который будет помогать пользователям с развертыванием проектов в облаке, устранением ошибок в коде и конфигурации, а также упростит работу с документацией. И как раз поиск по документации — отличный кейс для применения векторной базы данных, такой как Chroma.

Сразу разберем некий ограничивающий блок

Готовые нейросети, такие как DeepSeek, ChatGPT или Claude изначально заточены на то, что на вход они будут получать некие текстовые данные с определенным контекстом (промпт) и далее, на основании своих параметров и обучения они будут делать обработку вашего запроса, выполняя необходимую задачу.

То есть, учитывая что мы будем работать с готовыми языковыми моделями, от процесса подготовки промптов с определенным контекстом и отправки запросов к готовым нейросетям мы отойти не сможем.

Отсюда выходит логичная задача — каким образом нам подвязать к процессу общения с нейросетью нашу базу данных. Представим, что это тысячи страниц профессиональной литературы. Сомнительно то, что мы будем сотни мегабайт данных формировать в один гигантский промпт и при этом будем ожидать, что нейросеть согласится с ним работать. Как минимум, мы получим ошибку о том, что переданный контекст превышен.

Логично, что напрашивается решение формировать свой запрос, дополняя его только необходимым для этого конкретного запроса контекстом, но как это сделать? Простейший вариант — это организация некоего SEO-поисковика. Мы отправляем, например, «обучение нейросетей» и по нашим гигабайтам данных идет поиск, но и тут возникает логическая проблема. Даже если мы найдем информацию, допустим это 1000 вхождений такой фразы как «обучение нейросетей», каким образом нам выделять этот самый контекст? Как мы будем решать, что важно передавать нейросети для общения, а что передавать не нужно?

Конечно, можно сильно заморочиться с поисковиком этим, но, как вы понимаете, подход не то чтобы оптимальный, а это значит, что необходимо искать другое, более гибкое и удачное решение, о котором мы сегодня детально поговорим.

Векторные базы данных

Я знаю, что вы, с большой вероятностью, либо не слышали о существовании таких баз данных, либо знакомы с ними поверхностно. Поэтому далее я подробно и на пальцах разложу, что это за базы данных такие и, главное, мы разберемся, как они помогут нам в нашей задаче.

Если коротко и грубо, то векторная база данных — это представление данных: текстовых или байтовых в числовом представлении или, правильнее, в виде векторов.

Для примера, слово «привет» в векторном представлении будет иметь следующий вид [-0.012, 0.124, -0.056, 0.203, ..., 0.078] (убрал лишние цифры для наглядности).

В сегодняшнем контексте большого значения нет в том, каким математическим образом получаются эти цифры. Сейчас важно только общее понимание цифрового представления данных.

Практическая польза

На этом этапе вы можете закономерно сказать: «Это все весело и очень интересно, но какая в этом всем практическая польза и как вообще получать эти странные цифры»? Давайте разберемся.

Первое, что нужно понять — это то, что нейросети не умеют читать ваши тексты или смотреть на ваши фото в общечеловеческом представлении. Например, отправляя запрос ChatGPT, происходит следующее:

  1. Нейросеть принимает текст.

  2. Трансформирует этот текст в векторы или, более корректное название, в эмбеддинги.

  3. Использует эти эмбеддинги для генерации ответа на основе обученных параметров модели.

  4. Делает вычисления.

  5. Получает ответ в виде эмбеддинга.

  6. Трансформирует эмбеддинг в человеческий текст (Natural Language).

  7. Отправляет вам человеческий текст.

То есть, уже на данном этапе видно, что в общении с нейросетями появляется такая штука, как числовое представление входящей информации (представление в виде эмбеддингов), и теперь давайте разберемся, для чего это необходимо.

Эмбеддинги и зачем они нужны

Эмбеддинги — это «цифровые отпечатки смысла» текста. Давайте разберем это утверждение на реальном примере.

Представьте, что у вас есть огромная куча документов — книги, статьи, заметки. И вы хотите находить в них информацию не по точным словам, а по смыслу.

Как это реализовать:

  1. Нейросеть принимает все подготовленные вами слова и превращает их все в последовательности чисел (эмбеддинги).

Пример:

  • "Кот" → [0.2, -0.5, 0.7, ...]

  • "Кошечка" → [0.19, -0.48, 0.69, ...] (почти те же числа, ведь смысл близкий!).

  1. Векторная база данных, например Chroma, хранит эти числа и умеет:

  • Искать близкие по смыслу векторы (даже если слова разные).

  • Отвечать на запросы типа: «Найди что-то про усатых питомцев» → выдаст документы про котов, кошек, котят.

Простая аналогия:

  • Обычный поиск (как Ctrl+F): ищет точные совпадения слов.

    • Запрос «автомобиль» не найдет «машина».

  • Поиск по эмбеддингам: ищет похожие смыслы.

    • «Автомобиль», «машина», «транспорт» — будут рядом в числах, и база их свяжет.

Зачем это нужно?

  • Чат-боты (как ChatGPT) используют эмбеддинги для понимания запросов по смыслу, а не по точному соответствию.

  • Вы можете спросить документ своими словами, и система поймет, даже если там нет точных совпадений.

Итог: Эмбеддинги — это «переводчик» текста в числа, чтобы искать по смыслу, а не буквам. Векторные базы — их «хранилище», где поиск работает как магнит для похожих идей.

Существуют специальные нейросети, которые умеют трансформировать ваши текстовые данные в векторное (числовое) представление. Для таких задач не обязательно тянуть таких гигантов, как ChatGPT или DeepSeek, а достаточно будет брать именно специальные нейросети. Далее, в практической части, я буду проводить демонстрацию создания эмбеддингов и реализацию умного поиска на примере нейросети paraphrase-multilingual-MiniLM-L12-v2.

Данная нейросеть весит всего 500 МБ, и она запускается локально даже на средних компьютерах, так что идеально подойдет для наших задач.

Векторные базы данных (продолжение)

К этому моменту вы должны понять, что при работе с данными в числовом представлении действует следующая связка:

Текстовые данные при помощи специальной нейросети трансформируются в векторное (числовое) представление. Далее, для того чтобы начал работать умный поиск, нам нужно:

  1. Получить эмбеддинг вашего массива данных в векторном представлении.

  2. Написать текстовый запрос по типу «найди все, что носится на руке».

  3. Трансформировать запрос в векторное представление.

  4. Сравнить вектор запроса с векторами из большого эмбеддинга.

  5. Найденный результат трансформировать обратно в человеческую речь.

  6. Выдать результат.

Теперь возникает логический вопрос с хранением этих числовых данных. Понятно, мы можем взять текст, потом его превратить в векторы при помощи какой-то, пока непонятной, paraphrase-multilingual-MiniLM-L12-v2, но что там с хранением?

Хранится это может как в специализированной базе данных, по типу Chroma, с которой мы будем сегодня работать, так и в оперативной памяти.

Принцип хранения в оперативной памяти:

  1. Подготавливаем текстовые данные.

  2. Их трансформируем в эмбеддинги.

  3. Отправляем запрос уже на эмбеддинг.

  4. После завершения работы скрипта память очищается, и при новом заходе появляется повторная необходимость в генерации эмбеддинга.

Принцип хранения в специализированной базе данных:

  1. Подготавливаем текстовые данные.

  2. Трансформируем их в эмбеддинг.

  3. Эмбеддинг сохраняем в формате базы данных.

  4. При работе подключаемся к базе данных и используем готовый эмбеддинг.

Векторные базы данных бывают как локальные (Self-hosted решения), так и облачные.

Простейшая локальная база данных — это ChromaDB, с которой мы будем сегодня работать. Выбрал ее за простоту и за очень хорошую интеграцию с языком программирования Python.

Другие векторные локальные базы данных: Qdrant, Weaviate, Milvus и другие.

Вот несколько примеров облачных баз данных: Pinecone, RedisVL, Qdrant Cloud и другие.

Чем сегодня займемся?

Далее еще будет теория, но я уверен, что вы ждете практической части. Поэтому давайте разберемся, чем мы практически займемся, кроме поглощения теоретической информации.

Далее я покажу вам на практическом примере, как трансформировать текстовые данные в векторную базу данных ChromaDB. Мы сначала на простом примере создадим базу данных и поработаем с поиском по ней, а после уже будем работать с более сложным примером, на основе которого мы будем делать нашего умного ассистента в дальнейшем.

После того как мы полностью разберемся с тем, как работает генерация эмбеддингов и умный поиск внутри них — мы подключим к общему контексту большие нейросети DeepSeek и GPT, реализуя такую логику:

  1. Пользователь отправляет определенный запрос.

  2. Мы, используя умный поиск, достаем из нашей векторной базы данных дополнительный контент.

  3. Запрос пользователя вместе с нашей «умной выдачей» мы перенаправим в DeepSeek / GPT и получим ответ от нейросети уже на основе нашего личного контекста.

Будет интересно!

Простая векторная база данных

Теперь, для закрепления общего теоретического блока, описанного выше, подготовим простую базу данных ChromaDB на основе описания товаров выдуманного интернет-магазина (для простейшего примера это наглядный пример).

Представим, что у нас есть массив товаров такого вида:

SHOP_DATA = [
    {
        "text": 'Ноутбук Lenovo IdeaPad 5: 16 ГБ RAM, SSD 512 ГБ, экран 15.6", цена 55000 руб.',
        "metadata": {
            "id": "1",
            "type": "product",
            "category": "laptops",
            "price": 55000,
            "stock": 3,
        },
    },
    {
        "text": "Смартфон Xiaomi Redmi Note 12: 128 ГБ, камера 108 МП, цена 18000 руб.",
        "metadata": {
            "id": "2",
            "type": "product",
            "category": "phones",
            "price": 18000,
            "stock": 10,
        },
    },
    # ... и так далее
]

Как видите, информация представлена в виде списка словарей, каждый из которых содержит 2 основных ключа: text и metadata.

Документы и метаданные в векторных базах данных

Это важный момент, на котором стоит остановиться подробнее. Вы должны понимать, что в базе данных ChromaDB весь наш «умный» поиск будет работать "из коробки" только на значении ключа text (имя может быть любым).

В контексте векторных баз данных выделяются такие понятия как документы (в нашем случае это текст, описывающий конкретный товар) и метаданные.

Ограничения на длину документа

На этапе подготовки текстовых данных для загрузки в векторную базу крайне важно учитывать ограничения по длине текста, устанавливаемые моделью, которая будет преобразовывать его в векторное представление. Эти ограничения зависят от конкретной нейросети и обычно составляют от 256 до 512 токенов.

Таким образом, если вы, например, планируете добавить в базу полную книгу объёмом в 200 страниц, её необходимо предварительно разбить на более мелкие фрагменты — каждый длиной не более 256–512 токенов. Это обеспечит корректную обработку текста моделью и сохранение смысловой целостности в векторном пространстве.

Модель paraphrase-multilingual-MiniLM-L12-v2, с которой мы будем работать сегодня, имеет ограничение в 512 токенов на документ. Это примерно 250–350 слов или 1500–2200 символов. Однако, учитывая, что мы будем использовать наши данные совместно с мощными нейросетями Deepseek и ChatGPT, мы сделаем размер документов меньше, чтобы избежать перегруженности контекста.

Роль метаданных

Метаданные — это наши помощники, которые делают поиск более точным и локальным. Вот простой пример:

Представим, что ваш интернет-магазин занимается реализацией ноутбуков, смартфонов и прочей техники. Вы можете ограничить умный поиск по метаданным категории (category). Независимо от того, будете ли вы использовать метаданные для поиска явно, важно понимать, что найденные документы (результаты поиска) всегда будут содержать эти метатеги, что позволит вам выполнять дополнительную обработку.

Пример с книгами:

Представим, что вы решили загрузить в векторную базу данных всю серию книг про Гарри Поттера. Вы разбили весь текст на фрагменты по 512 токенов, а в качестве метатегов указали: название книги, номер страницы, номер главы и прочую информацию.

Далее вы отправляете запрос в стиле «Когда Гарри Поттер узнал о крестражах». Ваш умный поиск возвращает определенное количество результатов — документов с метатегами, которые позволяют вам понять, из какой это книги и на какой странице находится информация.

Другой пример работы с метатегами — это ограничение поиска конкретной книгой, серией книг или автором при формировании запроса.

При этом помните, что умный поиск никак не связан с метаданными, если вы явно не укажете логику их обработки в запросе.

Практическое применение метаданных

В контексте метаданных для наших товаров:

{
    "id": "1",
    "type": "product",
    "category": "laptops",
    "price": 55000,
    "stock": 3,
}

Мы передаем ID товара, тип, категорию, цену и остаток на складе. Например, на сайте можно было бы реализовать умный поиск по товарам и на странице результатов отображать для пользователя только те товары, которые имеют найденный ID.

Таким образом, векторная база данных — это отличный инструмент не только для интеграции с нейросетями, но и для решения практических задач, таких как умный поисковик на сайте или в вашем API.

Создание векторной базы данных на Python

Теперь напишем немного кода. Код будет простым, так как нам не нужно делить документы (описания товаров) на фрагменты или выполнять дополнительную логику по парсингу и обработке товаров.

Подготовка проекта

Первое, что делаем — это создаем новый проект Python с выделенным виртуальным окружением. В проект добавляем файл requirements.txt со следующим содержимым:

langchain-huggingface==0.1.2
torch==2.6.0
loguru==0.7.3
chromadb==0.6.3
sentence-transformers==3.4.1
langchain-chroma==0.2.2
pydantic-settings==2.8.1
langchain-text-splitters==0.3.7
langchain-deepseek==0.1.3
langchain-openai==0.3.11

Что за langchain?

Вы могли заметить, что слово langchain в зависимостях у меня встретилось целых 5 раз, что не случайно.

Langchain – это мощнейший инструмент Python, который позволяет «из коробки» интегрировать в свои проект огромное количество нейросетей и прочих полезных инструментов. Данный фреймворк заслуживает упоминания далеко не в одной статье, поэтому, настоятельно рекомендую ознакомиться с документацией по проекту (105к + звезд на GitHub должны намекать на то что проект стоит внимания).

641b77a750f259dc907fba5d3d11da5c.png

В сегодням же проекте мы будем использовать следующие инструменты данного фреймворка:

langchain-text-splitters==0.3.7

Инструмент для разбиения больших текстов на меньшие фрагменты (чанки). Содержит различные стратегии сегментации: по символам, предложениям, токенам, семантическим блокам. Необходим для обработки объемных документов, когда они превышают контекстное окно языковых моделей (256-512 токенов в нашем случае).

langchain-deepseek==0.1.3

Интеграция с моделями DeepSeek AI. Позволяет использовать мощные языковые модели DeepSeek для анализа и генерации текста (сегодня демонстрация будет выпонена на основе модели deepseek-chat).

langchain-openai==0.3.11

Адаптер для работы с API OpenAI. Предоставляет доступ к семейству языковых моделей GPT и их функциям. Включает поддержку чат-моделей, embedding-моделей и функций для работы с изображениями через DALL-E (рассмотрим пример с моделью gpt-3.5-turbo).

langchain-chroma==0.2.2

Коннектор к векторной базе данных ChromaDB. Позволяет хранить и эффективно извлекать векторные представления текстов для реализации функций семантического поиска и построения баз знаний с возможностью поиска по схожести.

langchain-huggingface==0.1.2

Интеграция с экосистемой Hugging Face открывает доступ к тысячам открытых моделей, разработанных сообществом. Среди них языковые модели, модели для эмбеддингов, классификации и других задач в области NLP. Этот инструмент особенно полезен, когда требуется запустить модели локально или использовать специализированные модели. В нашем случае мы сможем применять локальную нейросеть paraphrase-multilingual-MiniLM-L12-v2.

Другие пакеты

  • torch: Библиотека для машинного обучения, на которой работают многие языковые модели

  • loguru: Удобный логгер для отслеживания процесса работы нашего кода

  • chromadb: Собственно, сама векторная база данных, которую мы будем использовать

  • sentence-transformers: Библиотека для преобразования текста в векторы (эмбеддинги)

Установка зависимостей

Теперь выполним установку:

pip install -r requirements.txt

Установка может занять продолжительное время из-за общего веса устанавливаемых пакетов (в моем случае процесс установки занял ~20 минут).

Создание базы данных

Теперь создадим файл с именем create_chromadb.py (имя можете дать любое).

Выполним импорты:

import time
from langchain_huggingface import HuggingFaceEmbeddings
import torch
from loguru import logger
from langchain_chroma import Chroma

Определим основные переменные:

CHROMA_PATH = "./shop_chroma_db"
COLLECTION_NAME = "shop_data"

Коллекции в векторных базах данных можно сравнить с таблицами в классических базах данных. Если не указывать имя коллекции, ChromaDB подставит значение по умолчанию.

Теперь добавим массив товаров (чем больше - тем лучше):

SHOP_DATA = [
    {
        "text": 'Ноутбук Lenovo IdeaPad 5: 16 ГБ RAM, SSD 512 ГБ, экран 15.6", цена 55000 руб.',
        "metadata": {
            "id": "1",
            "type": "product",
            "category": "laptops",
            "price": 55000,
            "stock": 3,
        },
    },
    # Здесь добавьте остальные товары
]

И наконец, напишем функцию для создания базы данных:

def generate_chroma_db():
    try:
        start_time = time.time()
        
        logger.info("Загрузка модели эмбеддингов...")
        embeddings = HuggingFaceEmbeddings(
            model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
            model_kwargs={"device": "cuda" if torch.cuda.is_available() else "cpu"},
            encode_kwargs={"normalize_embeddings": True},
        )
        logger.info(f"Модель загружена за {time.time() - start_time:.2f} сек")
        
        logger.info("Создание Chroma DB...")
        chroma_db = Chroma.from_texts(
            texts=[item["text"] for item in SHOP_DATA],
            embedding=embeddings,
            ids=[str(item["metadata"]["id"]) for item in SHOP_DATA],
            metadatas=[item["metadata"] for item in SHOP_DATA],
            persist_directory=CHROMA_PATH,
            collection_name=COLLECTION_NAME,
        )
        logger.info(f"Chroma DB создана за {time.time() - start_time:.2f} сек")
        
        return chroma_db
    except Exception as e:
        logger.error(f"Ошибка: {e}")
        raise

В этом коде мы:

  1. Создаем модель для преобразования текста в векторы (эмбеддинги)

  2. Инициализируем базу данных Chroma с нашими товарами

  3. Передаем тексты, ID, метаданные и настройки пространства поиска

  4. Логируем успешное создание базы или ошибки

Важно отметить, что мы используем многоязычную модель paraphrase-multilingual-MiniLM-L12-v2, которая хорошо работает с русским языком. Это позволит нам корректно создавать векторные представления для наших товаров на русском языке. Сама модель при первом запуске будет загружена автоматически из репозитория Hugging Face. При повторных запусках, если модель уже на вашей машине, в загрузке необходимости не будет.

Особенность выбранной модели в том, что она сбалансирована по размеру и качеству - даёт хорошие результаты векторизации текста даже на CPU, но при наличии CUDA-совместимой видеокарты работает значительно быстрее. Плюс, благодаря параметру normalize_embeddings=True, все создаваемые эмбеддинги будут нормализованы, что улучшит точность поиска похожих товаров.

Выполняем код:

if __name__ == "__main__":
    generate_chroma_db()
При первом запуске вы увидите загрузку локальной модели.
При первом запуске вы увидите загрузку локальной модели.
Та же логика, но с использованием загруженное ранее модели.
Та же логика, но с использованием загруженное ранее модели.

Готово! Теперь у нас есть основа для создания векторной базы данных с описанием из документов. В корне проекта после запуска должна появиться папка с именем "shop_chroma_db", в которой будут лежать файлы базы данных. В дальнейшем мы сможем использовать эту базу для семантического поиска товаров по запросам пользователей — поиск будет находить не только точные совпадения, но и семантически близкие товары.

Пишем поисковик по базе данных

Теперь, когда база готова, мы можем описать простую поисковую систему в её рамках. Принцип тут будет сводиться к следующему:

  1. Подключаемся к существующей базе данных, получая эмбеддинги

  2. Принимаем от пользователя поисковой запрос

  3. Трансформируем поисковой запрос в векторное представление

  4. Сравниваем полученный вектор запроса с данными в базе данных

  5. Возвращаем пользователю то количество документов, которое он запросил

Что касается выдачи документов пользователю. Тут есть такая особенность: мы всегда указываем то количество документов, которые хотим получить. Допустим, это может быть 5 штук. Если вы не будете жёстко привязываться к метаданным через фильтры, то вы всегда будете получать в ответ от базы данных ровно то количество документов, которое указали.

То есть, даже если выдача вообще не будет соответствовать вашему запросу, вы всё равно ваши 5 документов в ответ получите. Это важно учитывать при разработке пользовательского интерфейса.

Сам ответ состоит из: документа, метаданных, которые к нему были привязаны, и из индекса ранжирования (чем ниже этот индекс – тем более похожий по смыслу документ вы получите). Сама выдача идёт по принципу: чем ниже индекс, тем выше позиция на выдаче.

Теперь вернёмся к коду.

Импорты:

from langchain_huggingface import HuggingFaceEmbeddings
import torch
from loguru import logger
from langchain_chroma import Chroma

Переменные:

CHROMA_PATH = "./shop_chroma_db"
COLLECTION_NAME = "shop_data"

Теперь опишем функцию для подключения к существующей базе данных:

def connect_to_chroma():
    """Подключение к существующей базе Chroma."""
    try:
        logger.info("Загрузка модели эмбеддингов...")
        embeddings = HuggingFaceEmbeddings(
            model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
            model_kwargs={"device": "cuda" if torch.cuda.is_available() else "cpu"},
            encode_kwargs={"normalize_embeddings": True},
        )

        chroma_db = Chroma(
            persist_directory=CHROMA_PATH,
            embedding_function=embeddings,
            collection_name=COLLECTION_NAME,
        )

        logger.success("Успешное подключение к базе Chroma")
        return chroma_db
    except Exception as e:
        logger.error(f"Ошибка подключения к Chroma: {e}")
        raise

Данная функция вернёт готовый к работе объект базы данных, в рамках которой и будет осуществляться векторный поиск.

Теперь опишем функцию, которая позволит вести поиск как по документу (страницам документации), так и по метаданным:

def search_products(query: str, metadata_filter: dict = None, k: int = 4):
    """
    Поиск страниц по запросу и метаданным.

    Args:
        query (str): Текстовый запрос для поиска
        metadata_filter (dict): Опциональный фильтр по метаданным
        k (int): Количество результатов для возврата

    Returns:
        list: Список найденных документов с их метаданными
    """
    try:
        chroma_db = connect_to_chroma()
        results = chroma_db.similarity_search_with_score(
            query, k=k, filter=metadata_filter
        )

        logger.info(f"Найдено {len(results)} результатов для запроса: {query}")
        formatted_results = []
        for doc, score in results:
            formatted_results.append(
                {
                    "text": doc.page_content,
                    "metadata": doc.metadata,
                    "similarity_score": score,
                }
            )
        return formatted_results
    except Exception as e:
        logger.error(f"Ошибка при поиске: {e}")
        raise

И теперь вызовем её:

for i in search_products(query="как развернуть приложение в Amvera, используя git push?"):
    print(i)

Параметр metadata_filter позволяет нам указать условия фильтрации по метаданным. Тут больше подойдет пример поиска по товарам интернет-магазина, чем наша документация. Например, если мы хотим найти только ноутбуки с ценой менее 60000 рублей, мы можем использовать фильтр такого вида:

filter_condition = {
    "category": "laptops",
    "price": {"$lt": 60000}
}

Тут хочу отметить, что этот пример учебный. В боевой системе обычно создаётся класс для управления сессией с базой данных, чтоб можно было подключиться один раз и удерживать соединение. В текущей реализации каждый вызов функции будет заново запускать соединение и загрузку модели эмбеддингов, что довольно ресурсоёмко. В следующей статье, если я увижу, что вам интересна данная тема, я покажу, как реализовать такой класс и как на основе векторной базы данных можно создать полноценное веб-приложение.

Кстати, исходный код сегодняшнего проекта, как и уже написанный класс для управления соединением с векторной базой данных, вы найдете в моем телеграмм канале «Лёгкий путь в Python». Там полный исходный код проекта лежит уже порядка недели.

Вызываем поиск и посмотрим на результаты.

Обратите внимание на значение similarity_score. Чем ниже это значение - тем ближе мы по смыслу к запросу.
Обратите внимание на значение similarity_score. Чем ниже это значение - тем ближе мы по смыслу к запросу.

Неплохо, правда? Несмотря на то, что в запросе мы явно не указывали конкретную модель пылесоса или его характеристики, векторный поиск сумел понять семантику запроса и вернуть наиболее подходящие результаты из нашей базы. Это демонстрирует мощь векторных баз данных в сочетании с современными языковыми моделями.

Приступаем к практике

Теперь, когда вы уже поняли общие принципы работы с векторными базами данных, мы можем приступить к созданию более сложной логики.

Речь пойдёт о сервисе Amvera Cloud, который я уже не раз упоминал в своих предыдущих статьях на Хабре. Вкратце, это платформа для простого деплоя (удалённого запуска) проектов, практически, на любом языке программирования.

Одно из приятных преимуществ Amvera Cloud — возможность быстро развернуть проект на самых разных технологиях, используя git push (или перетянув файлы в интерфейсе), а также получить к нему бесплатное доменное имя. Дополнительно, сервис предоставляет бесплатное встроенное проксирование к API OpenAI, Antropic, Cloude и Grok, что удобно для взаимодействия с LLM. Благодаря таким техническим возможностям, у сервиса весьма обширная и подробная документация — на все случаи жизни: от базовых руководств, вроде миграции с Heroku, до более специфических тем — например, запуска проектов на FastAPI или Django, или решения вопросов, связанных с биллингом.

Именно эта документация (а это порядка 70 различных документов) отлично подойдёт для практической демонстрации: мы сможем взять массив текстов, преобразовать его в векторную базу данных и показать, как эффективно интегрировать такую базу с нейросетевыми моделями для получения осмысленных и полезных ответов.

Вводные данные

В моих руках уже было порядка 70-ти документов в Markdown от Amvera в таком формате:

# Поддержка проб Kubernetes

## Как настраивать?

В форму нужно заполнять настройки в формате yaml, нативно формату, который используется 
самим k8s(см. [здесь](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/)).
Конфигурационный файл, подставляется в ваш Deployment, который загружается с ним в кластер.
**Это означает, что если вы загрузили неработающую настройку, или в неправильном формате, ваш проект упадет на этапе сборки.** ...

Эти документы мне были предоставлены в виде проекта, содержащего как файлы md, так и прочие технические файлы. Но, скорее всего, в вашем случае такого подарка не будет.

Поэтому важно помнить, что для сбора информации под базу данных можно использовать любые удобные вам инструменты: парсинг сайтов, загрузку данных из собственных SQL-баз, чтение документов в форматах Excel, Word, PDF и так далее. Главное, чтобы в итоге информация была преобразована в формат, который поддерживается векторными базами данных и имеет чёткую структуру.

Первое, что я реализовал в формате задачи с подготовкой – это решил трансформировать все эти файлы с вложенной структурой в JSON формат такого вида:

{
    "text": "бэкапы бэкапы data eval rst admonition важно и так далее по тексту",
    "metadata": {
        "section_count": 2,
        "section_1": "Бэкапы",
        "section_2": "Бэкапы /data"
    }
}

То есть это полная текстовая информация в ключе text без знаков препинания, спец-символов и капса, и помещённая в метаданные техническая информация по типу количества секций, названий и прочее.

Тут важно понимать, что метаданные – это наши помощники, но вам ничего бы не помешало зарядить только тексты. Однако с метаданными мы получаем дополнительные возможности для фильтрации и анализа результатов поиска.

Опишем логику для создания папки с JSON-файлами:

Импорты

import json
import os
import re
import string
import sys
from typing import Any, Dict, List
from config import settings
from loguru import logger

Тут я использовал встроенные в Python библиотеки, за исключением loguru – для удобного логирования результатов. Само извлечение будет ориентировано на регулярные выражения.

Выведем константы:

HEADER_PATTERN = re.compile(r"^(#+)\s(.+)")
PUNCTUATION_PATTERN = re.compile(f"[{re.escape(string.punctuation)}]")
WHITESPACE_PATTERN = re.compile(r"\s+")

Опишем логику для нормализации текстов:

def normalize_text(text: str) -> str:
    """Нормализация текста: удаление знаков препинания и специальных символов."""
    if not isinstance(text, str):
        raise ValueError("Входной текст должен быть строкой")

    # Удаление знаков препинания
    text = PUNCTUATION_PATTERN.sub(" ", text)
    # Удаление переносов строк и лишних пробелов
    text = WHITESPACE_PATTERN.sub(" ", text)
    # Приведение к нижнему регистру
    return text.lower().strip()

Напишем логику для парсинга одного документа формата md:

def parse_markdown(md_path: str) -> Dict[str, Any]:
    """Парсинг markdown файла и создание структурированных данных."""
    if not os.path.exists(md_path):
        raise FileNotFoundError(f"Файл {md_path} не найден")

    try:
        with open(md_path, "r", encoding="utf-8") as file:
            content = file.read()
    except Exception as e:
        logger.error(f"Ошибка при чтении файла {md_path}: {e}")
        raise

    sections: List[str] = []
    section_titles: List[str] = []
    current_section: str | None = None
    current_content: List[str] = []

    for line in content.splitlines():
        section_match = HEADER_PATTERN.match(line)

        if section_match:
            if current_section:
                sections.append("\n".join(current_content).strip())
                section_titles.append(current_section)
                current_content = []
            current_section = section_match.group(2)
            current_content.append(current_section)
        else:
            current_content.append(line)

    if current_section:
        sections.append("\n".join(current_content).strip())
        section_titles.append(current_section)

    # Нормализация текста для векторной базы данных
    normalized_sections = [normalize_text(section) for section in sections]
    full_text = " ".join(normalized_sections)

    # Создаем структуру метаданных
    metadata = {
        "file_name": os.path.basename(md_path),
        "section_count": len(section_titles),
    }

    # Добавляем заголовки как отдельные поля
    for i, title in enumerate(section_titles):
        metadata[f"section_{i+1}"] = title

    return {"text": full_text, "metadata": metadata}

И опишем функцию для парсинга всех документов:

def process_all_markdown(input_folder: str, output_folder: str) -> None:
    """Обработка всех markdown файлов в директории."""
    if not os.path.exists(input_folder):
        raise FileNotFoundError(f"Входная директория {input_folder} не найдена")

    try:
        os.makedirs(output_folder, exist_ok=True)
    except Exception as e:
        logger.error(f"Ошибка при создании выходной директории: {e}")
        raise

    for root, _, files in os.walk(input_folder):
        for file_name in files:
            if file_name.endswith(".md"):
                try:
                    md_path = os.path.join(root, file_name)
                    output_path = os.path.join(
                        output_folder, file_name.replace(".md", ".json")
                    )
                    parsed_data = parse_markdown(md_path)

                    with open(output_path, "w", encoding="utf-8") as file:
                        json.dump(parsed_data, file, ensure_ascii=False, indent=4)
                    logger.info(f"Результат сохранен в {output_path}")
                except Exception as e:
                    logger.error(f"Ошибка при обработке файла {file_name}: {e}")

На вход функция принимает папку, в которой находятся все документы, и папку, в которую запишутся полученные JSON файлы.

Логика обнаружения md файлов работает таким образом, чтобы искать по всем вложенным папкам директории с документами. Это особенно полезно, если ваша документация имеет сложную структуру файлов и директорий.

Теперь вызываем:

if __name__ == "__main__":
    try:
        process_all_markdown(
            input_folder="путь к папке с документами",
            output_folder="путь к папке для сохранения JSON",
        )
    except Exception as e:
        logger.error(f"Критическая ошибка: {e}")
        sys.exit(1)

Запускаем.

Получил 63 документа (пример всех файлов есть в исходном коде проекта)
Получил 63 документа (пример всех файлов есть в исходном коде проекта)

Файлы готовы! Теперь нам остается прочитать все файлы и на их основе создать векторную базу данных.

Обратите внимание, что наш парсер выделяет из Markdown не только текст, но и структуру документа. В метаданных мы сохраняем название файла и заголовки всех разделов. Это позволяет нам потом не только искать по содержимому, но и точно указывать, из какого раздела документации был взят тот или иной фрагмент, что очень полезно для создания осмысленных ответов ассистента.

Создаем базу данных

Процесс создания базы данных под Amvera не сильно отличается от описанного ранее подхода, с той разницей, что данные мы будем брать из существующих JSON-файлов.

Перед продолжением для более структурированного кода давайте создадим файл .env в корне проекта и поместим в него следующие переменные:

DEEPSEEK_API_KEY=sk-1234
OPENAI_API_KEY=sk-proj-1234

Здесь должны находиться оба ключа API. Если ключей нет, можно файл не создавать.

Далее создаем файл config.py и заполним его следующим образом:

import os
from pydantic import SecretStr
from pydantic_settings import BaseSettings, SettingsConfigDict

class Config(BaseSettings):
    DEEPSEEK_API_KEY: SecretStr
    BASE_DIR: str = os.path.abspath(os.path.join(os.path.dirname(__file__)))
    DOCS_AMVERA_PATH: str = os.path.join(BASE_DIR, "amvera_data", "docs_amvera")
    PARSED_JSON_PATH: str = os.path.join(BASE_DIR, "amvera_data", "parsed_json")
    AMVERA_CHROMA_PATH: str = os.path.join(BASE_DIR, "amvera_data", "chroma_db")
    AMVERA_COLLECTION_NAME: str = "amvera_docs"
    MAX_CHUNK_SIZE: int = 512
    CHUNK_OVERLAP: int = 50
    LM_MODEL_NAME: str = "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"
    DEEPSEEK_MODEL_NAME: str = "deepseek-chat"
    OPENAI_MODEL_NAME: str = "gpt-3.5-turbo"
    OPENAI_API_KEY: SecretStr
    model_config = SettingsConfigDict(env_file=f"{BASE_DIR}/.env")

settings = Config()  # type: ignore

В этом классе мы собираем все необходимые переменные для работы проекта. Как видите, здесь указаны пути к важным папкам (у вас структура может отличаться), названия коллекций, максимальный размер чанка, имена моделей нейросетей.

Обратите особое внимание на объявление API-ключей:

OPENAI_API_KEY: SecretStr
DEEPSEEK_API_KEY: SecretStr

Важно описывать их не как обычные строки, а именно через SecretStr. Это требование библиотеки LangChain для безопасной работы с конфиденциальными данными.

Теперь мы можем импортировать переменную settings в любом месте кода и через точку обращаться к необходимым нам настройкам.

Создание базы данных

Вернемся к созданию базы данных. Начнем с импортов:

import json
import os
import sys
from typing import Any, Dict, List, Optional
import torch
from langchain_chroma import Chroma
from langchain_huggingface import HuggingFaceEmbeddings
from langchain_text_splitters import RecursiveCharacterTextSplitter
from loguru import logger
from config import settings

Здесь среди прочего вы видите импорт RecursiveCharacterTextSplitter. Этот компонент позволит нам разделять большие документы на смысловые чанки (фрагменты текста, связанные между собой по смыслу).

Напишем функцию для загрузки всех существующих JSON-файлов в формат списка словарей:

def load_json_files(directory: str) -> List[Dict[str, Any]]:
    """Загрузка всех JSON файлов из указанной директории."""
    documents = []

    try:
        if not os.path.exists(directory):
            logger.error(f"Директория {directory} не существует")
            return documents

        for filename in os.listdir(directory):
            if filename.endswith(".json"):
                file_path = os.path.join(directory, filename)
                try:
                    with open(file_path, "r", encoding="utf-8") as file:
                        data = json.load(file)
                        documents.append(
                            {"text": data["text"], "metadata": data["metadata"]}
                        )
                        logger.info(f"Загружен файл: {filename}")
                except Exception as e:
                    logger.error(f"Ошибка при чтении файла {filename}: {e}")

        logger.success(f"Загружено {len(documents)} JSON файлов")
        return documents
    except Exception as e:
        logger.error(f"Ошибка при загрузке JSON файлов: {e}")
        return documents

После выполнения этой функции мы получим все данные из JSON-файлов в виде словарей, помещенных в оперативную память. Информацию из этих словарей можно будет использовать для создания векторной базы данных.

Теперь опишем логику для разбиения больших документов на смысловые фрагменты:

def split_text_into_chunks(text: str, metadata: Dict[str, Any]) -> List[Any]:
    """Разделение текста на чанки с сохранением метаданных."""
    text_splitter = RecursiveCharacterTextSplitter(
        chunk_size=settings.MAX_CHUNK_SIZE,
        chunk_overlap=settings.CHUNK_OVERLAP,
        length_function=len,
        is_separator_regex=False,
    )

    chunks = text_splitter.create_documents(texts=[text], metadatas=[metadata])
    return chunks

В результате работы этой функции мы по-прежнему имеем список из словарей, но теперь большие тексты разделены на смысловые фрагменты. При этом каждый из фрагментов содержит необходимые метаданные. Это важно для сохранения общего контекста даже при разбиении большого текста на множество частей.

Наконец, опишем логику для создания векторной базы данных:

def generate_chroma_db() -> Optional[Chroma]:
    """Инициализация ChromaDB с данными из JSON файлов."""
    try:
        # Создаем директорию для хранения базы данных, если она не существует
        os.makedirs(settings.AMVERA_CHROMA_PATH, exist_ok=True)

        # Загружаем JSON файлы
        documents = load_json_files(settings.PARSED_JSON_PATH)

        if not documents:
            logger.warning("Нет документов для добавления в базу данных")
            return None

        # Инициализируем модель эмбеддингов
        embeddings = HuggingFaceEmbeddings(
            model_name=settings.LM_MODEL_NAME,
            model_kwargs={"device": "cuda" if torch.cuda.is_available() else "cpu"},
            encode_kwargs={"normalize_embeddings": True},
        )

        # Подготавливаем данные для Chroma
        all_chunks = []
        for i, doc in enumerate(documents):
            chunks = split_text_into_chunks(doc["text"], doc["metadata"])
            all_chunks.extend(chunks)
            logger.info(
                f"Документ {i+1}/{len(documents)} разбит на {len(chunks)} чанков"
            )

        # Создаем векторное хранилище
        texts = [chunk.page_content for chunk in all_chunks]
        metadatas = [chunk.metadata for chunk in all_chunks]
        ids = [f"doc_{i}" for i in range(len(all_chunks))]

        chroma_db = Chroma.from_texts(
            texts=texts,
            embedding=embeddings,
            ids=ids,
            metadatas=metadatas,
            persist_directory=settings.AMVERA_CHROMA_PATH,
            collection_name=settings.AMVERA_COLLECTION_NAME,
            collection_metadata={
                "hnsw:space": "cosine",
            },
        )

        logger.success(
            f"База Chroma инициализирована, добавлено {len(all_chunks)} чанков из {len(documents)} документов"
        )
        return chroma_db
    except Exception as e:
        logger.error(f"Ошибка инициализации Chroma: {e}")
        raise

Логика создания базы данных не сильно отличается от примеров, которые мы рассматривали ранее. Главное отличие — разбиение больших текстов на смысловые фрагменты (чанки).

На моем достаточно скромном компьютере процесс создания базы данных занял менее 10 минут. На устройствах с GPU этот процесс займет лишь несколько минут благодаря параллельным вычислениям.

Оптимизация производительности

Стоит отметить, что при работе с большими объемами данных можно дополнительно оптимизировать процесс:

  1. Используйте батчинг при создании эмбеддингов (обработка документов группами)

  2. Настраивайте параметры MAX_CHUNK_SIZE и CHUNK_OVERLAP в зависимости от структуры ваших данных

  3. Выбирайте подходящую модель эмбеддингов, балансируя между качеством и скоростью

ChromaDB обладает хорошей производительностью для большинства задач RAG, но при очень больших объемах данных (миллионы документов) стоит рассмотреть другие решения, например FAISS или Pinecone.

Интеграция поисковика с нейросетями

Ранее мы рассмотрели, как описать поисковик без использования больших нейросетей. Чтобы закрепить этот материал, предлагаю вам самостоятельно создать такой поисковик на основе вашей базы данных.

Я же перейду к самой интересной части – объясню, как объединить выдачу из векторной базы данных с нейросетями, чтобы создать умного ИИ-агента. Для этого мы будем использовать данные из документации Amvera Cloud, которые у меня уже трансформированы в векторную базу данных.

Начальная настройка проекта

Начнем с создания файла с именем chat_with_ai.py.

Выполним необходимые импорты:

from typing import Any, Dict, List, Literal, Optional
import torch
from config import settings
from langchain_chroma import Chroma
from langchain_deepseek import ChatDeepSeek
from langchain_openai import ChatOpenAI
from langchain_huggingface import HuggingFaceEmbeddings
from loguru import logger

Здесь мы подключаем новые инструменты langchain_deepseek и langchain_openai, которые позволят нам легко интегрировать модели DeepSeek и ChatGPT (а также другие модели OpenAI) в наш проект.

Структура основного класса

Для более структурированного кода я решил оформить его в виде класса. Объявим наш класс и опишем логику инициализации:

class ChatWithAI:
    def __init__(self, provider: Literal["deepseek", "openai"] = "deepseek"):
        self.provider = provider
        self.embeddings = HuggingFaceEmbeddings(
            model_name=settings.LM_MODEL_NAME,
            model_kwargs={"device": "cuda" if torch.cuda.is_available() else "cpu"},
            encode_kwargs={"normalize_embeddings": True},
        )

        if provider == "deepseek":
            self.llm = ChatDeepSeek(
                api_key=settings.DEEPSEEK_API_KEY,
                model=settings.DEEPSEEK_MODEL_NAME,
                temperature=0.7,
            )
        elif provider == "openai":
            self.llm = ChatOpenAI(
                api_key=settings.OPENAI_API_KEY,
                model=settings.OPENAI_MODEL_NAME,
                temperature=0.7,
            )
        else:
            raise ValueError(f"Неподдерживаемый провайдер: {provider}")

        self.chroma_db = Chroma(
            persist_directory=settings.AMVERA_CHROMA_PATH,
            embedding_function=self.embeddings,
            collection_name=settings.AMVERA_COLLECTION_NAME,
        )

При создании объекта класса мы передаем параметр provider со значением "deepseek" или "openai" для указания той нейросети, с которой будем работать в проекте.

Обратите внимание на конструкцию:

ChatDeepSeek(
    api_key=settings.DEEPSEEK_API_KEY,
    model=settings.DEEPSEEK_MODEL_NAME,
    temperature=0.7,
)

Таким простым образом мы можем объявить нейросеть, с которой будем взаимодействовать. Здесь достаточно передать API-токен и название модели (это обязательные параметры). Также можно передавать дополнительные параметры для более тонкой настройки, например, temperature для контроля креативности ответов.

Получение релевантного контекста

Опишем метод для получения ответа из базы данных:

def get_relevant_context(self, query: str, k: int = 3) -> List[Dict[str, Any]]:
    """Получение релевантного контекста из базы данных."""
    try:
        results = self.chroma_db.similarity_search(query, k=k)
        return [
            {
                "text": doc.page_content,
                "metadata": doc.metadata,
            }
            for doc in results
        ]
    except Exception as e:
        logger.error(f"Ошибка при получении контекста: {e}")
        return []

На вход метод принимает запрос пользователя и количество документов, которые мы ожидаем получить (по умолчанию это 3 документа).

Для поиска я использовал метод similarity_search. Напомню, что суть этого метода в том, что поисковый запрос мы преобразуем в векторное представление и на основании этого вектора осуществляем поиск в нашей базе данных.

Форматирование контекста

Теперь опишем метод, который будет трансформировать полученный результат в удобный для нейросетей вид:

def format_context(self, context: List[Dict[str, Any]]) -> str:
    """Форматирование контекста для промпта."""
    formatted_context = []
    for item in context:
        metadata_str = "\n".join(f"{k}: {v}" for k, v in item["metadata"].items())
        formatted_context.append(
            f"Текст: {item['text']}\nМетаданные:\n{metadata_str}\n"
        )
    return "\n---\n".join(formatted_context)

Этот метод трансформирует связку документ + метаданные из всех полученных документов в одно структурированное сообщение, которое мы затем передадим нейросети.

Генерация ответа

Теперь опишем метод, который будет связывать наш контекст с запросом к нейросети:

def generate_response(self, query: str) -> Optional[str]:
    """Генерация ответа на основе запроса и контекста."""
    try:
        context = self.get_relevant_context(query)
        if not context:
            return "Извините, не удалось найти релевантный контекст для ответа."

        formatted_context = self.format_context(context)

        messages = [
            {
                "role": "system",
                "content": """Ты — внутренний менеджер компании Amvera Cloud (https://amvera.ru/). Отвечаешь по делу без лишних вступлений.

Правила:
1. Сразу переходи к сути, без фраз типа "На основе контекста"
2. Используй только факты. Если точных данных нет — отвечай общими фразами об Amvera Cloud, но не придумывай конкретику
3. Используй обычный текст без форматирования
4. Включай ссылки только если они есть в контексте
5. Говори от первого лица множественного числа: "Мы предоставляем", "У нас есть"
6. При упоминании файлов делай это естественно, например: "Я прикреплю инструкцию, где подробно описаны шаги"
7. На приветствия отвечай доброжелательно, на негатив — с легким юмором
8. Можешь при ответах использовать общую информацию из открытых источников по Amvera Cloud, но опирайся на контекст
9. Если пользователь спрашивает о ценах, планах или технических характеристиках — давай конкретные ответы из контекста
10. При технических вопросах предлагай практические решения

Персонализируй ответы, упоминая имя клиента если оно есть в контексте. Будь краток, информативен и полезен.""",
            },
            {
                "role": "user",
                "content": f"Вопрос: {query}\nКонтекст: {formatted_context}",
            },
        ]
        response = self.llm.invoke(messages)
        if hasattr(response, "content"):
            return str(response.content)
        return str(response).strip()
    except Exception as e:
        logger.error(f"Ошибка при генерации ответа: {e}")
        return "Произошла ошибка при генерации ответа."

Обратите внимание, что здесь используется текстовый промпт, который выступает в роли обертки над нашим контекстом. Сам промпт (запрос) может быть любым, и я привел лишь один из возможных примеров.

С содержимым промпта стоит экспериментировать в зависимости от конкретных требований вашего проекта. Инструкции могут быть более или менее директивными, могут ориентировать модель на разные стили ответов или разный формат подачи информации.

На вход метод принимает поисковый запрос пользователя. Этот запрос сначала обрабатывается векторной базой данных, и на его основе мы получаем структурированный текст релевантных документов. Затем этот текст объединяется с подготовленным нами промптом, и при помощи вызова self.llm.invoke(messages) мы получаем ответ от нейросети.

Далее мы трансформируем ответ и возвращаем его пользователю.

Запуск и тестирование

Теперь остается корректно инициализировать класс и вызвать его методы:

if __name__ == "__main__":
    chat = ChatWithAI(provider="deepseek")
    print("\n=== Чат с ИИ ===\n")

    while True:
        query = input("Вы: ")
        if query.lower() == "выход":
            print("\nДо свидания!")
            break

        print("\nИИ печатает...", end="\r")
        response = chat.generate_response(query)
        print(" " * 20, end="\r")  # Очищаем "ИИ печатает..."
        print(f"ИИ: {response}\n")

Обратите внимание, что здесь запущен цикл, который прервется только если пользователь напишет «выход». Это демонстрирует, как можно удерживать подключение с векторной базой данных Chroma без необходимости повторно подключаться к ней при каждом запросе.

Мы один раз подключаемся к базе, и отключимся от неё только когда завершится наш бесконечный цикл. Такой подход экономит время на инициализацию соединения при каждом запросе пользователя.

Заключение

На текущем этапе у нас получился лишь прототип поисковика по документации Amvera Cloud — пока это сложно назвать полноценным сервисом с ИИ помощником.

Если этот материал найдет у вас отклик в виде просмотров, лайков и комментариев, то уже в следующей статье я подробно расскажу, какие блоки текущего кода можно улучшить. На основе доработанного варианта мы соберем готовый веб-сервис, аналогичный сайту chat.openai.com, где реализуем полноценный и удобный чат с нашим ИИ-ассистентом.

Надеюсь, мне удалось донести до вас, как работают векторные базы данных, как собирать и структурировать под них информацию, а также как организовать генерацию и поиск по таким базам.

Из-за ограниченных ресурсов мне не удалось охватить тему глубоко и всесторонне. Поэтому настоятельно рекомендую изучить векторное представление данных более детально. Это важно хотя бы потому, что такие гиганты, как ChatGPT, Claude, DeepSeek и другие современные нейросети работают именно с векторным представлением информации.

Кроме того, советую обратить внимание на такой мощный инструмент, как LangChain. То, что мы разобрали в этой статье, — лишь малая часть его возможностей.

Напоминаю, что исходный код проекта, включая асинхронный класс для работы с векторной базой ChromaDB, а также прочий эксклюзивный контент, который я не публикую на Хабре, вы можете найти в моем бесплатном Telegram-канале «Легкий путь в Python».

На этом всё. До встречи в следующем материале!

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    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +1603512144 8| Telegram: @Fundsretriever

  • 24.06.26 01:27 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever

  • 24.06.26 01:28 Fraddy Pual

    I never thought it would happen to me—but I lost $256,100 in Bitcoin through a shady investment deal. I was shattered, panicked, and convinced my savings were gone forever. Just when I was about to give up, I stumbled upon reviews for FUNDSRETRIEVER, a cyber recovery team with a solid reputation. I decided to give it a shot, and to my absolute shock, they recovered every single cent in record time. Working with them was a lifesaver. If you've been tricked by fake investment platforms, don't lose hope—FUNDSRETRIEVER can help. Contact them here: Email: [email protected] | WhatsApp: +16035121448 | Telegram: @Fundsretriever.

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 01:58 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 14:16 Universina da Mota

    Becoming a victim of an investment scam is never anyone's intention it often happens because fraudsters exploit trust and a lack of awareness. I would like to express my sincere gratitude to the dedicated team at ResQpro for their professionalism and commitment to helping victims of online investment fraud. Their efforts in assisting individuals with the recovery of stolen assets and holding scammers accountable are truly commendable. If you need assistance or would like to learn more, you can contact them through: Email: [email protected] Alternative Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 14:21 Elizabeth Thompson

    If you believe you have been the victim of an investment scam, it is important to act promptly and gather all relevant information. Keep records of transaction receipts, wallet addresses, communication logs, account details, and any other evidence related to the incident. Providing accurate documentation can help investigators, financial institutions, legal professionals, or recovery specialists review your case and determine what options may be available. Be cautious of anyone who guarantees the recovery of lost funds or requests large upfront payments. For additional information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 15:33 Júlia Castro

    If you have fallen victim to an investment scam, it is important to act quickly and gather all available evidence related to the incident. This may include transaction records, wallet addresses, screenshots of conversations, emails, account details, and any information connected to the individuals or entities involved. Having complete documentation can help professionals assess your situation and explore possible recovery options. Always exercise caution when seeking assistance and carefully verify the credentials of any service provider before proceeding. For further information, you may contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 (985) 296-9146

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 24.06.26 22:01 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 25.06.26 21:13 Emilie Safi

    A fraudulent investment scheme operated by BTCMining.limited functions as a fake return scam. In this setup, scammers lure victims with false promises of high returns. Through manipulative tactics, they gain individuals' trust and convince them to invest, ultimately leading to financial loss. If you have ever faced a cyber threat or fallen victim to an online crypto scam and need to reach the authorities, I recommend contacting [email protected], [email protected], WhatsApp +19852969146, telegram @resqprofirm. They are a legitimate team that helps victims of online crypto scams using advanced tools.

  • 25.06.26 21:25 Emilie Safi

    So I ended up losing $38,000 to this platform. At first, they kept asking me to put in more money so I could get into my portfolio. I did that, but then they wouldn’t let me withdraw anything—just kept asking for more deposits. It got way too suspicious, so I stopped. I found this company called ResQProfirm on Google and told them what happened. They got in touch, asked me to walk them through everything, and I gave them all the proof I had. They did an amazing job tracking down my money and getting it back. Big thanks to them at [email protected] and on WhatsApp at +19852969146. Please be careful out there and always research before investing.

  • 26.06.26 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.06.26 01:04 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 26.06.26 02:48 Miriam Rocha

    I trusted this platform with $120,000 of my hard-earned money. Then they started asking for more deposits just so I could access my own portfolio. I paid, but every withdrawal request was denied. They kept pushing for more money. I finally stopped it just felt wrong. Desperate, I found ResQProfirm on Google. They didn't just hear me out; they truly listened. I shared all my proof, and they launched an investigation. Thanks to their hard work, they tracked and returned my funds. From the bottom of my heart, thank you to [email protected] and their WhatsApp +19852969146. Please stay safe and always verify a platform before investing

  • 26.06.26 02:52 Miško Bakić

    I got my $232,000 refund thanks to [email protected] and WhatsApp +19852969146. Highly recommended for anyone in a similar situation.

  • 26.06.26 02:56 Asunción Herrera

    A recovery of $48,330 was facilitated by [email protected]. Individuals who have experienced financial fraud may consider contacting this service.

  • 26.06.26 15:05 Riley Stephens

    If withdrawals keep getting denied, stay calm. I went through the same, and this firm helped me recover everything. Their assistance was outstanding. Contact: [ResQProFirm @Gmail|•|com], Telegram: ResQprofirm, WhatsApp: <+198> <5296> <9146>.

  • 26.06.26 15:09 Antonio Riley

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  • 28.06.26 00:37 kimberlyhebertt673

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 28.06.26 00:37 kimberlyhebertt673

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684

  • 29.06.26 11:57 Lisadonato0726

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  • 29.06.26 22:37 riley777

    Back in 2025, I watched my life savings vanish. A thief took every cent. I felt desperate and went looking for a way to get it back. I found a guy here who said he was an expert haha. He talked about special software that could find my missing cash. I trusted him. That was a big mistake. He was just another scammer. I paid him a software fee and then he just stopped answering my texts and ran off with my money too. I felt so ashamed that I kept quiet about it for months. It is hard to admit you got fooled twice. Later on, I found a real pro. she did not use a fancy sales pitch. she just looked at the trans screenshots and followed the path the money took. she worked fast and got my funds back into my account. Having that money back changed everything. I can sleep again. her info; [email protected]. Call/chatroom on Whtasapp/ +44 7476618364.

  • 30.06.26 15:08 wendytaylor015

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  • 30.06.26 15:08 wendytaylor015

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  • 02.07.26 01:22 Lieneke Bonnema

    I highly recommend ResQprofirm for their professional asset recovery services of my $120,000 scammed funds. Their expertise, professionalism, and commitment to achieving results make them a reliable choice for anyone seeking dependable recovery assistance. [email protected], WhatsApp +19852969146, telegram @resqprofirm

  • 02.07.26 01:26 Clara Morin

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  • 04.07.26 15:32 Fraddy Pual

    There are few companies I trust as much as FUNDSRETRIEVER. When I lost $653,000 in Ethereum to a ruthless scam, I thought my life would never be the same. The betrayal cut deep, but I refused to give up. I searched tirelessly for a legitimate way to recover what was stolen, and finally found FUNDSRETRIEVER—the most competent and compassionate recovery team I could have imagined. They handled my case with precision and care, and in the end, my entire ETH wallet was restored. More than the money, they gave me back my hope and happiness. I'm sharing my story because I want others to know that recovery is possible. If a scam has taken from you, don't hesitate—contact FUNDSRETRIEVER today. Email: FUNDSRETRIEVER1@ Gmail.com | WhatsApp: +1 603-512-1448 | Telegram: @FUNDSRETRIEVER

  • 05.07.26 14:44 lydiassmith567

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  • 05.07.26 14:44 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 06.07.26 16:20 Olga Ognjanović

    Having trouble withdrawing funds from an investment platform? ResQprofirm provides fund recovery assistance for individuals seeking help with investment-related disputes. I reached out to them after experiencing problems with an investment platform, and I appreciated their professionalism and support throughout the process. If you're facing a similar situation, act promptly, keep records of your transactions and communications, and seek assistance from a qualified recovery service or the appropriate authorities. Contact: Email: [email protected] Telegram: @ResQprofirm WhatsApp: +1 985 296 9146

  • 06.07.26 16:31 Joseph Weigl

    Invest wisely and stay cautious. Don't be influenced by promises of unusually high returns or convincing sales pitches from brokers. I learned this the hard way after falling victim to an investment scam that promised huge profits. Fortunately, I acted quickly and reported the incident to a recovery firm for assistance. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146

  • 06.07.26 16:33 Jaran Løvlien

    A heartfelt thank you to RESQPRO FIRM for their commitment and professionalism throughout the investigation of my case. Their team worked diligently and helped recover assets valued at $88,000, which were returned to my wallet. I truly appreciate their support, clear communication, and dedication, and I'm grateful for the assistance I received. Contact: Email: [email protected] Telegram: @Resqprofirm WhatsApp: +1 985 296 9146

  • 07.07.26 18:00 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text: +1 (336) 390-6684 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 07.07.26 18:01 robertalfred175

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  • 09.07.26 19:06 Toivo Walli

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  • 13.07.26 23:49 [email protected]

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  • 15.07.26 11:53 Sarah Green

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  • 16.07.26 21:38 patricialovick86

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  • 16.07.26 21:38 patricialovick86

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  • 18.07.26 23:51 bernalzenaida

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  • 19.07.26 04:10 Fraddy Pual

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  • 19.07.26 19:53 kimberlyhebertt6877

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  • 19.07.26 19:53 kimberlyhebertt6877

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  • 19.07.26 19:54 kimberlyhebertt6877

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  • 30.07.26 00:04 Ahmed

    A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.

  • 30.07.26 17:27 wendytaylor015

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  • 30.07.26 17:27 wendytaylor015

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  • 31.07.26 16:21 rssllhrnsb

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TEXT : (tatianasorina06 at G.Ma IL ..c 0 m ) Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.

  • 01.08.26 15:05 keithwilson9899

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  • 01.08.26 15:05 keithwilson9899

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  • 03.08.26 20:05 Philip

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  • 03.08.26 20:06 Philip

    I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]

  • 04.08.26 11:05 Kisnoles

    Excellent analysis, thank you. I was particularly struck by how rigidly the skill sets the order: data processing and form come first, with color coming last. This really cures the habit of "first a pretty palette, then we'll figure it out." A palette validator using OKLCH + color blindness + WCAG is something most chart generators lack. And regarding the boundaries of competence, it's very clear. Where there's a self-checking loop (color), you delegate freely. Where there's a heuristic (form, data interpretation), you remain the final filter. This is a universal principle, not just for /dataviz. By the way, when you look at trading dashboards (including those of decent platforms like ExpertOption), it's immediately clear who thought about readability and who just threw in rainbow lines. Tools like this skill could greatly improve the quality of analytics. Thanks again for the detailed analysis – saved.

  • 04.08.26 12:37 kimberlyhebertt6877

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  • 04.08.26 12:37 kimberlyhebertt6877

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  • 06.08.26 08:11 ROMMYHENDERSON344

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  • 06.08.26 13:56 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 06.08.26 13:56 lydiassmith567

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  • 11.08.26 03:43 raymont0714

    I recommend a trusted cybersecurity PRO with experience in authorized device access, security testing, and data recovery. SHE work only with the owner's consent and follow all legal and privacy rules on meta data. With permission, this specialist can recover lost files, check device security offline & online, and review texts, call records, or hidden data (spy or lurk around a cheating partner or colleuge). Strict confidentiality agreements protect the information, and client details remain private. The work is careful, efficient, and suited to complex cases. For help securing or recovering information from a phone or another electronic device, use the details below 2 consult [email protected] +44 7476618364 I trust her secrecy a living witness. Her discretion is unmatched, ensuring your privacy is always maintained

  • 12.08.26 16:37 rssllhrnsb

    I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Tatiana Sorina , who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina
TEXT : (tatianasorina06 at G_Ma IL dot ..c 0 m)…. Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.

  • 16.08.26 01:44 Matt Kegan

    CapitalNode Analytics. They help to investigate and recover stolen digital assets from fake trading platforms. Great firm i must say.

  • 18.08.26 04:59 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone WhatsApp/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 18.08.26 04:59 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone WhatsApp/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 19.08.26 14:50 BAYER7043

    My account was locked, and I couldn’t access my own information until [email protected] +447476618364 whats?up? helped me recover it. This lady hacker was kind and professional, but this experience showed me how risky account lockouts can be. If you’re facing the same problem, do not panic consult her A. S. A. P. Be careful with recovery agents outchea, and research their name, business, and reviews before sharing any details. Never send passwords, security codes, banking information, or copies of your ID unless you’ve confirmed who you’re dealing with. Be wary of promises that sound too good to be true, especially claims that require little information or guarantee instant access with outrageous fees.

  • 20.08.26 11:32 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR WhatsApp Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 20.08.26 11:32 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR WhatsApp Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 23.08.26 20:02 leslieyee

    Excellent analysis by /dataviz! I was particularly struck by how strictly the order is defined: "data meaning first, color last" and how the validator actually adjusts the palette according to OKLCH, color blindness, and WCAG standards. These rules greatly improve the quality of charts. By the way, a similar approach to clean and legible charts is highly valued in trading—for example, on the ExpertOption platform, the interface and price visualization are designed to ensure information is read instantly and without unnecessary noise.

  • 25.08.26 13:44 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 25.08.26 13:44 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 30.08.26 15:37 [email protected]

    Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.

  • 30.08.26 15:37 [email protected]

    Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.

  • 01.09.26 11:16 lisawerth897

    My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684

  • 01.09.26 11:16 lisawerth897

    My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684

  • 01.09.26 17:34 Garry42

    Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.

  • 01.09.26 17:34 Garry42

    Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.

  • 02.09.26 03:43 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684

  • 02.09.26 03:43 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684

  • 04.09.26 21:51 Kovengray

    Recovering your lost investment funds as the case might be, is not what you can do alone, you’d require the service of a trained recovery specialist. A recovery specialist is a person or a group of people who are well equipped to work around the brokerage network. They have vast knowledge about the whole network and have the right software and private keys to follow any transaction. I was ripped off trading online to an investment broker, good thing I got every penny back through the help of Gavin ray he’s a genius Contact : Gavinray78 at gmail com or WhatsApp +1 352 322 2096 It is also important to be patient and really calm during the process.

  • 05.09.26 21:38 [email protected]

    I invested 45,000  Euro, and later aggreviated to 198,000 Euro.  I requested  to place ‎Withdrawal of my funds to be paid to my Bank account. But nothing happened I was subjected to pay more fee until I can get my funds on my account, i got in touch with Theodore ryan here on this platform who had helped a lot of people, I followed all instructions and he legally got back my withheld funds, I got threatened by the company that if I don’t pay they will get my account frozen, all thanks to Theodore ryan and I highly recommend him to anyone dealing with an unregulated broker company… contact him on his Gmail - theodoreryan318@  gmail .  com

  • 09.09.26 21:31 lisawerth897

    My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684

  • 09.09.26 21:31 lisawerth897

    My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684

  • 09.09.26 23:22 Fraddy Pual

    Hearing that these individuals are focusing on other people makes me very sad. I had a similar situation with them and lost a lot of money, but after learning about (Cruxcipherteam @ proton DoT me), whataqq:+168160-15021, telegram: @Cruxcipherteam I was able to get my money back. It's critical that we all be watchful and keep reporting these occurrences.

  • 11.09.26 03:23 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684

  • 11.09.26 03:23 kimberlyhebertt6877

    I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684

  • 15.09.26 03:35 elioduncan

    I fell victim to a freelance web development contract scam that ultimately cost me CAD 4,000. It all started when I came across a job posting on Indeed Canada, a popular online job portal. The position seemed perfect: a freelance web developer role for an established company looking for someone to design and build a fully functional e-commerce website. The job promised a high payment of CAD 20,000 upon successful completion, which sounded like a great opportunity for me to gain experience and earn decent pay.The employer, who introduced himself as a project manager from a "well-known" tech company, was very persuasive and professional in our initial communication. He explained that the project involved developing a user-friendly, responsive online store for their client and that they had a strict timeline to meet. He assured me that the payment would be made promptly after completing the tasks. However, before starting the work, he told me that I would need to pay an upfront fee of CAD 4,000 to cover certain software tools and licensing fees required for the project. This was supposedly a part of their company policy for freelance contractors, ensuring access to their premium resources. The idea of working on a professional project, coupled with the promise of a substantial payout, convinced me to pay the upfront fee.As soon as I made the payment, the project manager became increasingly difficult to reach. He initially responded to my emails and provided some vague instructions on what the project would entail, but as time went on, communication slowed to a complete halt. I never received the required tools or any proper project details. My emails went unanswered, and any attempts to contact the company were met with silence. After waiting for weeks, I realized that I had been scammed.Desperate to recover my money, I turned to TechY Force Cyber Retrieval, a service that specializes in helping victims of online scams. They helped me track the payment and took legal steps to pursue the fraudsters. Through their guidance, I was able to recover the full CAD 4,000. TechY Force Cyber Retrieval worked with my bank to reverse the transaction and liaised with the authorities to trace the scammer's details.This was a hard lesson, and I now know to be highly cautious about online job offers that require upfront payments. It is crucial to research companies thoroughly and avoid any job that seems too good to be true, especially when it involves paying money upfront. WhatsApp https://wa.link/2x6ktp Mail. [email protected]

  • 15.09.26 15:45 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.09.26 15:45 lydiassmith567

    HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

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