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.
Leverages the pgvector PostgreSQL extension to embed documents and images using CLIP models, enabling cross-modal search (text queries on images and vice versa) while maintaining ACID compliance and native SQL joins with application data. Provides a FastAPI backend with web dashboard and Python/JavaScript SDKs, configurable embedding models, and horizontal scaling through Docker/Kubernetes without external vector database dependencies.
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Stars
19
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Language
Python
License
MIT
Category
Last pushed
Jul 04, 2025
Commits (30d)
0
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