Awesome-GraphRAG is a curated repository organizing graph-based retrieval-augmented generation methods, with a taxonomy, benchmark, and original research from DEEP-PolyU.
RAGFlow is an open-source Python RAG engine combining deep document parsing, configurable pipelines, agentic workflows, and sandboxed code execution for LLM context management.
Quivr is a Python framework offering an opinionated, pluggable retrieval-augmented generation pipeline with multi-LLM support and YAML-defined workflows for flexible knowledge retrieval.
