Ashish-Abraham/QueReyDB
RAG (Retrieval-Augmented Generation) and vector search to transform plain questions into SQL queries, enabling effortless, intelligent conversations with your SQL database.
No commits in the last 6 months.
Stars
4
Forks
—
Language
Python
License
—
Last pushed
Jan 11, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Ashish-Abraham/QueReyDB"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Siddhant-K-code/distill
Reliable LLM outputs start with clean context. Deterministic deduplication, compression, and...
pesu-dev/ask-pesu
A RAG pipeline for question answering about PES University
louisbrulenaudet/ragoon
High level library for batched embeddings generation, blazingly-fast web-based RAG and quantized...
B-A-M-N/FlockParser
Distributed document RAG system with intelligent GPU/CPU orchestration. Auto-discovers...
namtroi/RAGBase
Open Source RAG ETL Platform. Turns PDFs, Docs & Slides into queryable vectors. Features a...