ChuckHend/pg_vectorize
Full-text and semantic search on any Postgres
This tool helps you add advanced search capabilities to your data stored in Postgres databases. It takes your text data, like product descriptions or articles, and transforms it into a format that allows for intelligent searches based on meaning, not just keywords. This is ideal for developers building applications that need semantic search, full-text search, or hybrid search, such as those powering retrieval-augmented generation (RAG) or internal search engines.
826 stars.
Use this if you are a developer building a search engine or RAG application and want to leverage Postgres to store your data and handle both traditional full-text and modern semantic search.
Not ideal if you need a standalone vector database that doesn't rely on Postgres as its primary data store.
Stars
826
Forks
38
Language
Rust
License
—
Category
Last pushed
Nov 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/ChuckHend/pg_vectorize"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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