yafitzdev/fitz-sage
The RAG library that says "I don't know" instead of hallucinating.
This tool helps you quickly get accurate answers from your business documents without the AI making things up. You input your documents (like company policies or reports) and ask questions. It provides precise answers, tells you when it doesn't know, and suggests what information might be missing. It's ideal for anyone who needs reliable information extraction from large document sets, like customer support teams, legal professionals, or researchers.
Use this if you need an AI system to answer questions strictly from your internal documents and avoid confident but incorrect 'hallucinations'.
Not ideal if you need a highly customizable RAG system where you want to manually select and configure every component.
Stars
29
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/yafitzdev/fitz-sage"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
itsmostafa/qi
query search engine cli for humans and ai agents
Azure-Samples/azure-sql-db-ai-samples-search
To gain access, please finish setting up this repository now at:
SkardiLabs/skardi
Run SQL across Relational DBs, Data Lakes, S3, MongoDB, Redis, and vector stores. Turn any query...
prdai/research-navigator
fastapi backend powered by crewai agents for automated research, data retrieval, and synthesis....
insight-apac-demo/aiapp1day
This repository contains the materials and resources for the "Azure AI App-in-a-Day Hackathon."...