Chatty-KG: A Multi-Agent Approach to Knowledge Graph Question Answering
Published:Nov 26, 2025 00:18
•1 min read
•ArXiv
Analysis
The paper presents Chatty-KG, a novel multi-agent AI system designed for conversational question answering using knowledge graphs. This approach demonstrates promise in improving the accessibility and efficiency of information retrieval from structured data.
Key Takeaways
- •Chatty-KG utilizes a multi-agent architecture, potentially improving the performance and robustness of question answering.
- •The system focuses on conversational question answering, allowing for more natural and iterative information retrieval.
- •The use of knowledge graphs enables structured access to and understanding of complex information.
Reference
“Chatty-KG is a multi-agent AI system for on-demand conversational question answering over Knowledge Graphs.”