13 repos
Libraries, engines, and databases for indexing and searching high-dimensional vector embeddings using nearest-neighbor and similarity search algorithms. This cluster covers both full-featured vector database systems (like Qdrant) and lighter-weight embedding search libraries across Python, Rust, and C++, with support for hybrid search combining vector similarity with traditional keyword matching. It's a core infrastructure area for building semantic search, recommendation systems, and AI-powered retrieval applications.
mchl-labs/chronovec
Versioned vector index with MVCC, snapshot isolation, and branchable agent memory