This repository is a curated list of resources for vector search, including frameworks, libraries, cloud services, and research papers. It aims to provide a comprehensive overview for developers and researchers working with vector similarity search, particularly for AI and LLM applications.

How It Works

The list categorizes resources into standalone services, libraries, cloud services, and research papers. Standalone services and cloud services offer managed or self-hosted solutions for vector search, often with features like filtering, scalability, and specific indexing algorithms (e.g., HNSW). Libraries provide tools for implementing vector search within applications, supporting various languages and backends.

Quick Start & Requirements

This is a curated list, not a runnable project. To use any of the listed tools, refer to their individual project documentation.

Highlighted Details

• Comprehensive coverage of standalone vector databases like Milvus, Weaviate, Qdrant, and Vearch.
• Extensive list of libraries for implementing vector search, including Faiss, ScaNN, NMSLIB, and Annoy.
• Includes cloud-based vector database services such as Pinecone, Zilliz Cloud, and Astra Vector.
• Features a collection of influential research papers on approximate nearest neighbor search algorithms and optimizations.

Maintenance & Community

This is a community-curated list. Contributions and updates are welcome. Specific community links are not provided in the README.

Licensing & Compatibility

The licensing varies by the individual projects listed. Users must consult the license of each specific tool for compatibility and usage restrictions.

Limitations & Caveats

As a curated list, this repository does not provide direct functionality. The quality, maintenance status, and feature sets of the listed projects vary significantly, requiring individual evaluation.