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Vector databases.

Self-hosted stores for embeddings and similarity search. The retrieval layer under RAG, not the chat UI.

  1. Rank 1. QdrantRust vector database with filters, payloads, and a REST API.GitHub stars: 34.5k
  2. Rank 2. pgvectorVector similarity search as a Postgres extension — embeddings without a new database.GitHub stars: 23k
  3. Rank 3. ChromaDeveloper-friendly embedding database for local RAG prototypes.GitHub stars: 29.3k
  4. Rank 4. MilvusCloud-native vector database built for large-scale ANN search.GitHub stars: 46.1k
  5. Rank 5. WeaviateVector database with hybrid search and modular vectorizers.GitHub stars: 16.8k
  6. Rank 6. LanceDBEmbedded serverless vector database — SQLite-style, multimodal, no server to run.GitHub stars: 11.4k
  7. Rank 7. FaissFacebook’s MIT ANN library for billion-scale embedding search on CPU or GPU.GitHub stars: 40.9k
  8. Rank 8. txtaiAll-in-one Python framework for embeddings, vector search, and RAG workflows.GitHub stars: 12.9k
  9. Rank 9. MarqoDocker-deployed search engine combining vector and keyword search for discovery apps.GitHub stars: 5k