AgenticRAG-Survey: This repository serves as a comprehensive survey on Agentic Retrieval-Augmented Generation (Agentic RAG), a transformative AI paradigm integrating autonomous agents into RAG pipelines. It details foundational principles, taxonomy, comparative analysis, real-world applications, challenges, and future directions for researchers and practitioners.; ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.
Enhanced medical diagnostics and information retrieval in healthcare.
Building high-fidelity, production-ready AI systems with complex data.