#39 · Primary category: Vector Databases

pgvecto.rs

chatgpt faiss gpt hacktoberfest llm nearest-neighbor-search postgres rust vector vector-database

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

Project last updated:02/26/25

GitHub Stars

2.2K

Forks

86

Contributors

20

License

Apache-2.0

Why we included this project

Teams already running Postgres can add nearest-neighbor search without spinning up a separate vector store, because pgvecto.rs is a Rust extension built on pgrx that layers embedding similarity directly into the database. That means you query vectors with familiar SQL operators and index types instead of managing another service. Its practical strengths are hybrid filtering, which combines top-k retrieval with relational predicates and joins, plus support for very high-dimensional vectors and compact data types like binary vectors, FP16, and INT8 for memory savings. One thing to weigh before committing: the maintainers now point new deployments toward VectorChord as a more stable successor and provide a migration guide, so the roadmap matters. For evaluating in-database vector search on an existing Postgres workload, it's a well-documented and honest starting point.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category