laxmanclo/pany
PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.
This tool helps you quickly find relevant information within your documents and images using natural language queries. Simply upload your PDFs, text files, and photos, then type a search query like "find the contract with Microsoft" or "red car." It returns semantically similar content, not just keyword matches, and is ideal for anyone managing large collections of files, such as content managers, product managers, or customer support teams.
No commits in the last 6 months.
Use this if you need to add AI-powered semantic search capabilities to your existing PostgreSQL database without setting up a separate vector database.
Not ideal if you do not use PostgreSQL or require advanced vector database features beyond semantic search and native SQL joins.
Stars
19
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jul 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/laxmanclo/pany"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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