KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs for building logical reasoning and factual Q&A solutions for professional domain knowledge bases, effectively overcoming the limitations of traditional RAG vector similarity models.
A modular graph-based Retrieval-Augmented Generation system by Microsoft that uses LLMs to extract structured knowledge graphs from text, enabling global and local community summarization queries.
LightRAG is a simple and fast Retrieval-Augmented Generation framework using graph-enhanced retrieval, published at EMNLP 2025.
A production-ready Agentic RAG system with RESTful API, featuring multimodal document ingestion, hybrid search, knowledge graph construction, and agent-driven retrieval-augmented generation workflows.
CodeFuse-muAgent is an innovative agent framework driven by a knowledge graph engine, integrating EKG (Enterprise Knowledge Graph) technology for multi-agent collaboration, RAG-enhanced retrieval, and tool learning.