Vector Databases & Embeddings AI Tools
Open-source vector stores, embedding servers, and approximate nearest neighbor search libraries for semantic retrieval.
Open-source vector stores, embedding servers, and approximate nearest neighbor search libraries for semantic retrieval.
Efficient similarity search library by Meta for dense vector clustering and retrieval.
Open-source vector similarity search extension for PostgreSQL.
Approximate nearest neighbor library by Spotify optimized for memory usage.
Header-only C++ library implementing HNSW approximate nearest neighbor search.
Compact single-header vector search engine supporting multiple languages.
All-in-one embeddings database for semantic search, LLM orchestration, and language model workflows.
High-performance embedding server by Hugging Face for production deployment.
Open-source big data serving engine with built-in vector search and ML inference.
Efficient vector similarity search library by Google Research.
Serverless vector database with fast search and namespace isolation.
Highly scalable distributed vector search engine by Yahoo Japan.
Approximate nearest neighbor library by Spotify using HNSW.
Fast embedding inference server supporting many embedding models.
Library for representing and sending multimodal data by Jina AI.
End-to-end vector search engine with built-in model inference.
Serverless vector database built on Lance columnar format.