R2R

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.

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.

Graphiti is a temporal knowledge-graph engine for agent memory, helping systems continuously accumulate long-term context.

An open-source embedded retrieval library for multimodal AI with zero server configuration, using the Lance columnar format for efficient vector search and filtering, ideal for agent memory and RAG applications.