Description
Working with graph databases means learning Cypher or GQL for modeling, loading, querying and analysis. Chat2Graph from Ant's TuGraph team is a graph-native multi-agent system that models, loads, queries and analyzes graph data through conversation.
It uses graphs as agent memory and reasoning ground, with GraphRAG and text-to-graph-query.
Chat to graph:No query language.
Multi-agent:Divided work.
GraphRAG:Graph-enhanced retrieval.
Graph memory:Sturdier reasoning.
It uses graphs as agent memory and reasoning ground, with GraphRAG and text-to-graph-query.
Features
Chat to graph:No query language.
Multi-agent:Divided work.
GraphRAG:Graph-enhanced retrieval.
Graph memory:Sturdier reasoning.
