Chat2Graph is a graph-native agentic system designed to bridge the power of graph databases with advanced AI capabilities. It establishes a multi-agent system (MAS) directly upon a graph database, and harnesses the inherent strengths of graph data structures, such as relationship modeling and interpretability, to enhance core AI agent capabilities like reasoning, planning, memory, and tool utilization.
In Chat2Graph, we expect to deeply implement the concept of "Graph + AI" and deeply integrate graph computing and AI technology into the design and implementation of agents.
In Chat2Graph, we expect to deeply implement the concept of "Graph + AI" and deeply integrate graph computing and AI technology into the design and implementation of agents.
GitHub: https://github.com/TuGraph-family/chat2graph