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.