TaimoorKhan10/Enterprise-RAG-Framework
Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.
This framework helps organizations build reliable AI systems that can answer questions using their internal documents and data. It takes your company's documents (PDFs, Word files, etc.) and generates accurate, cited answers from Large Language Models, greatly reducing AI 'hallucinations'. This is ideal for businesses and teams looking to deploy AI-powered knowledge assistants or customer support bots that rely on proprietary information.
No commits in the last 6 months.
Use this if you need to build a robust, scalable AI application that leverages your organization's specific knowledge base to provide accurate and trustworthy information, complete with source citations.
Not ideal if you're looking for a simple, consumer-grade chatbot that doesn't require connecting to your private data or extensive accuracy evaluation.
Stars
9
Forks
3
Language
Python
License
—
Category
Last pushed
Jun 01, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/TaimoorKhan10/Enterprise-RAG-Framework"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Bessouat40/RAGLight
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to...
datallmhub/ragctl
A powerful CLI tool to manage, test, and optimize RAG pipelines. Streamline your...
superagent-ai/super-rag
Super performant RAG pipelines for AI apps. Summarization, Retrieve/Rerank and Code Interpreters...
feld-m/rag_blueprint
A modular framework for building and deploying Retrieval-Augmented Generation (RAG) systems with...
McKern3l/RAGdrag
RAG pipeline security testing toolkit - 27 techniques across 6 kill chain phases, mapped to MITRE ATLAS