🦜️🔗 LangChain Milvus

This repository contains the Milvus integration package for LangChain:

langchain-milvus - A powerful integration between LangChain and Milvus, enabling vector search and retrievers for AI applications.

Overview

LangChain Milvus provides seamless integration between LangChain, a framework for building applications with large language models (LLMs), and Milvus, a powerful vector database designed for similarity search and AI applications. This integration enables efficient vector storage and retrieval for AI applications like semantic search, recommendation systems, and RAG (Retrieval Augmented Generation).

Features

Vector Storage: Store embeddings from any LangChain embedding model in Milvus
Similarity Search: Perform efficient similarity searches on vector data
Hybrid Search: Combine vector search with keyword search for improved results
Maximal Marginal Relevance: Filter for diversity in search results
Multiple Vector Fields: Support for multiple vector fields in a single collection
Sparse Embeddings: Support for sparse vector embeddings
Built-in Functions: Support for Milvus built-in functions like BM25
Async Support: Full support for async operations and APIs

Installation

pip install -U langchain-milvus

Usage

Basic Usage: Learn how to get started with basic vector operations in Milvus using LangChain.
Build RAG(Retrieval Augmented Generation): Discover how to build powerful RAG applications by combining LangChain with Milvus.
Full-text Search: Explore how to implement full-text search capabilities using LangChain and Milvus.
Hybrid Search: Learn how to combine vector and keyword search for more accurate results.

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

License

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

Dependencies of langchain-milvus (2).
Dependency	Optional
langchain-core	false
pymilvus	false

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langchain-milvus

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