Vector Database

Fully managed vector database for high-performance similarity search, optimized for production scale and hybrid search.

Open-source vector database and semantic search engine with hybrid queries, schema, and generative search.

Lightweight open-source embedding database built for local, serverless, or cloud-backed vector search — ideal for prototyping RAG apps.

Open-source, high-performance vector database and indexing engine designed for billion-scale vector similarity search and analytics.

Approximate Nearest Neighbor Oh-Yeah — lightweight C++/Python library for fast, memory-efficient ANN search with static indexes (good for embedding similarity).

PostgreSQL extension that adds a native vector column type and indexing for similarity search in a relational database (ANN search inside Postgres).

Open-source vector search engine with filtering, payload storage, and rich Python/REST/gRPC clients — Rust-built for production scale.

Embedded serverless vector database in Rust, built on the Lance columnar format — local-first with cloud sync.

Meta's library for efficient similarity search and clustering of dense vectors — the indexing primitive behind many vector DBs.