🦜️🔗 LangChain Moorcheh

This repository contains the LangChain integration with Moorcheh, a vector database for AI applications.

Installation

pip install -U langchain-moorcheh

Configuration

Set your Moorcheh API key as an environment variable:

export MOORCHEH_API_KEY="your-api-key"

Moorcheh SDK docs: Python SDK Introduction

Vector Stores

The MoorchehVectorStore class allows you to use Moorcheh VectorDB alongside LangChain:

from langchain_moorcheh import MoorchehVectorStore

vector_store = MoorchehVectorStore.from_texts(
    texts=texts,
    embedding=embedding_model,
    api_key=MOORCHEH_API_KEY,
    namespace=NAMESPACE_NAME,
    namespace_type=NAMESPACE_TYPE,
)

This integration uses the new module-based Moorcheh SDK methods:

• namespaces.create
• documents.upload
• similarity_search.query
• answer.generate

Features

• Vector Storage: Store and retrieve embeddings with high performance
• Namespace Management: Organize your data with flexible namespace structures
• LangChain Integration: Seamlessly integrate with the LangChain ecosystem
• Async Support: Full asynchronous operation support
• Metadata Filtering: Advanced querying with metadata support

Documentation

For more detailed information, visit:

• PyPI Package
• Source Code
• LangChain Documentation

Contributing

We welcome contributions! Please see our contributing guidelines for more details.

License

This project is licensed under the MIT License - see the LICENSE file for details.