agentic-rag-for-dummies and autonomous-agentic-rag
These are complements positioned at different points on the learning-to-production spectrum: the first provides an educational, modular framework for understanding agentic RAG fundamentals with LangGraph, while the second builds on those concepts with a self-improving pipeline for more advanced autonomous workflows.
About agentic-rag-for-dummies
GiovanniPasq/agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
This project helps developers build advanced AI assistants that can intelligently answer questions using custom data. It takes your documents (like PDFs or Markdown files) and processes them into a searchable format, then uses an AI to interpret user questions, find relevant information, and generate clear, coherent answers. It's designed for AI developers or data scientists who want to create sophisticated conversational agents.
About autonomous-agentic-rag
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.
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