ragflow and agentic-rag
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 agentic-rag
FareedKhan-dev/agentic-rag
Agentic RAG to achieve human like reasoning
Implements a multi-stage agentic pipeline with specialized tools (Librarian, Analyst, Scout) coordinated through deliberate reasoning nodes—Gatekeeper for validation, Planner for orchestration, Auditor for self-correction, and Strategist for causal inference. Builds knowledge from structure-aware document parsing, LLM-generated metadata, and hybrid vector/relational stores, then stress-tests robustness through adversarial Red Team challenges and evaluation across retrieval quality, reasoning correctness, and cost metrics.
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