TuGraph-family/chat2graph
A Graph Native Agentic System that uses AI agents to interact with and reason over knowledge graphs.
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Chat2Graph is an agent-based system that combines large language models with graph databases to enable natural language interaction with structured knowledge. It leverages agentic frameworks to orchestrate workflows across graph retrieval, text-to-graph query translation (text2gql), and multi-modal processing. The system integrates RAG techniques with knowledge graphs for interpretable AI reasoning.
Frequently asked
- What is TuGraph-family/chat2graph?
- A Graph Native Agentic System that uses AI agents to interact with and reason over knowledge graphs.
- Is chat2graph open source?
- Yes — TuGraph-family/chat2graph is open source, released under the Apache-2.0 license.
- What language is chat2graph written in?
- TuGraph-family/chat2graph is primarily written in Python.
- How popular is chat2graph?
- TuGraph-family/chat2graph has 424 stars on GitHub.
- Where can I find chat2graph?
- TuGraph-family/chat2graph is on GitHub at https://github.com/TuGraph-family/chat2graph.