supabase/vecs
Postgres/pgvector Python Client
This is a tool for developers who are building applications that need to manage and search collections of vector embeddings. It helps you store these numerical representations of data, like text or images, in a PostgreSQL database using the pgvector extension. You put in your vector data and associated details, and it allows you to efficiently query and retrieve the most similar vectors based on your criteria. This is for software developers building AI-powered features or data retrieval systems.
288 stars. Used by 2 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer integrating vector search capabilities into an application and want to use PostgreSQL as your backend database for storing and querying vector embeddings.
Not ideal if you are looking for a standalone application to perform vector similarity searches without writing code, or if you prefer a different database or vector store solution.
Stars
288
Forks
45
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 09, 2025
Commits (30d)
0
Reverse dependents
2
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/supabase/vecs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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