20x faster than pgvector: HNSW index in Postgres with pg_embedding

• pgvector

  78 9,211 9.9 C

  Open-source vector similarity search for Postgres

  

https://github.com/pgvector/pgvector/pull/86 an example of why it's better to have our own project to move fast.

• ann-benchmarks

  51 4,588 8.1 Python

  Benchmarks of approximate nearest neighbor libraries in Python

A more important question is why supabase went with one of the slowest [0] implementations instead of building a better plugin especially since you are a VC funded company that's hardly lacking in cash. Simply gluing together a few random open source extensions is not great for developer experience.

[0] https://github.com/erikbern/ann-benchmarks

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• pg_embedding

  1 536 7.8 C

  Hierarchical Navigable Small World (HNSW) algorithm for vector similarity search in PostgreSQL

  

I believe it's available here: https://github.com/neondatabase/pg_embedding/

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