postgresml/korvus
Korvus is a search SDK that unifies the entire RAG pipeline in a single database query. Built on top of Postgres with bindings for Python, JavaScript, Rust and C.
Korvus helps developers build applications that can understand and respond to natural language queries using your own data. It takes your text documents and a user's question, then processes them within your PostgreSQL database to generate an accurate, relevant answer. This is ideal for software engineers, data scientists, or AI application developers who are building intelligent search or chatbot features.
1,459 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a developer looking to integrate advanced search and natural language processing (RAG) capabilities directly into your PostgreSQL database with a simplified architecture.
Not ideal if you need a no-code solution or are not comfortable working with databases and programming languages like Python, JavaScript, or Rust.
Stars
1,459
Forks
49
Language
Rust
License
MIT
Category
Last pushed
Jan 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/postgresml/korvus"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
playwithllm/store
A RAG-driven image product search that showcases MERN, Milvus for vector indexing, Transformers,...
groovy-web/rag-system-pgvector
Production-ready RAG system using PostgreSQL + pgvector for semantic search
Syed007Hassan/Hybrid-Search-For-Rag
This project demonstrates how to implement a hybrid search engine for Retrieval-Augmented...
Diesel-Black/carta
PostgreSQL pipeline for extracting geometric and topological quantities from AI conversation...
hassanamir24/quickrag
🚀 Index and search documents quickly with QuickRAG, using your preferred embedding provider and...