DavidMStraub/sifts

Simple full text & vector search engine Python library

50
/ 100
Established

Leverages native full-text search capabilities in SQLite and PostgreSQL through a unified Python API, with vector search via pgvector (PostgreSQL) or in-memory cosine similarity (SQLite). Automatically handles special character escaping for FTS5 and tsquery syntax, and integrates embedding functions for semantic search applications like RAG systems. Designed as a library for Flask and similar frameworks, enabling seamless database switching from SQLite development to PostgreSQL production without API changes.

4 stars and 1,588 monthly downloads. Available on PyPI.

Maintenance 10 / 25
Adoption 10 / 25
Maturity 18 / 25
Community 12 / 25

How are scores calculated?

Stars

4

Forks

1

Language

Python

License

MIT

Last pushed

Feb 19, 2026

Monthly downloads

1,588

Commits (30d)

0

Dependencies

3

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/DavidMStraub/sifts"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.