Chat2Graph puts a multi-agent system on top of a graph database
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🙌Not only GraphRAG, but also GraphAgents! Introducing Chat2Graph, a graph native agentic system, which combines 'Graph & AI' to facilitate an easy 'chat to graph' experience! #MAS #graphdatabase 🔗GitHub: https://t.co/Z6QL19m8Yv
Context
Retrieval-augmented systems built on graph databases, often called GraphRAG, typically add a retrieval layer on top of the graph rather than treating the graph itself as where the reasoning happens. Ant Open Source's Chat2Graph instead builds a natively on top of a graph database, so agents query and act on the graph directly rather than through a separate retrieval step. The announcement is a short release post pointing to the project's GitHub code; a demo video accompanying the post has no accessible media file, only a preview thumbnail, so this explanation is limited to what the text and code release describe.
- multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
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