ragflow and autonomous-agentic-rag
These two tools are competitors, with RAGFlow being a significantly more mature and feature-rich open-source RAG engine that already incorporates agent capabilities, while Autonomous Agentic RAG is a newer, less developed project aiming to build a self-improving agentic RAG pipeline.
About ragflow
infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
This tool helps create advanced AI assistants that can accurately answer questions using your specific business documents and data. You input various documents like PDFs, Word files, web pages, and even structured data, and it outputs a system that provides precise, traceable answers. It's designed for business leaders, knowledge managers, or AI product developers who need to build reliable question-answering systems for internal teams or customers.
About autonomous-agentic-rag
FareedKhan-dev/autonomous-agentic-rag
Self improving agentic rag pipeline
Implements a multi-agent architecture with specialist agents orchestrated via LangGraph that collaboratively generate outputs, evaluated across multiple dimensions (accuracy, feasibility, compliance) by a custom scoring system. An outer evolutionary loop uses diagnostician and SOP architect agents to iteratively refine standard operating procedures based on performance vectors, identifying Pareto-optimal trade-offs. Integrates LangChain/LangGraph for orchestration, Ollama for local LLMs, FAISS and DuckDB for multi-source knowledge indexing (PubMed, FDA guidelines, MIMIC-III clinical data), and LangSmith for observability.
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