FareedKhan-dev/autonomous-agentic-rag
Self improving agentic rag pipeline
This project helps healthcare professionals, researchers, or data scientists efficiently generate comprehensive, multi-source documents by processing various medical data types like scientific literature, regulatory guidelines, and clinical datasets. It takes a high-level query or concept as input and produces optimized, multi-source documents and insights, allowing human decision-makers to choose the best strategies. The system continuously refines its own processes for improved accuracy and relevance.
125 stars.
Use this if you need to synthesize vast amounts of medical information from diverse sources into reliable, accurate reports and want an automated system that learns to improve its output over time.
Not ideal if you need instant, simple answers from a single data source, or if you prefer full manual control over every step of information retrieval and synthesis.
Stars
125
Forks
41
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/FareedKhan-dev/autonomous-agentic-rag"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
deepsense-ai/ragbits
Building blocks for rapid development of GenAI applications
infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses...
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications...
vectara/py-vectara-agentic
A python library for creating AI assistants with Vectara, using Agentic RAG