Open Source Vector Databases using GitHub

Open-source vector database designed for AI applications. Store, search, and retrieve embeddings with semantic similarity matching and metadata filtering.

Graph database using sparse matrix representation and linear algebra to deliver ultra-low latency Cypher queries, native multi-tenancy, and built-in GraphRAG support for AI applications.

Deep Lake is an open-source database for storing, querying and managing complex AI data like images, audio, and embeddings.

Rust-built native graph-vector database combining vector similarity search and graph traversals. 10x faster development with unified architecture, sub-1ms queries.