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How to Evaluate Graph Retrieval in MCP Agentic Systems
https://towardsdatascience.com/evaluating-graph-retrieval-in-mcp-agentic-systems/(towardsdatascience.com)The article explores evaluating graph retrieval in Model Context Protocol (MCP) agentic systems, emphasizing the shift from single-step Cypher generation to multi-step reasoning. It introduces a new benchmark dataset designed to assess the quality of final answers produced by agents, rather than just query correctness. This benchmark incorporates real-world noise, such as typos and colloquial language, to better reflect practical agent usage. The MCP-Neo4j-Cypher server is highlighted as a ready-to-use tool for agents to interact with Neo4j, and initial evaluations using Claude 3.7 Sonnet and GPT-4o Mini show promising results, with an average score of 0.71 across various questions.
0 points•by ogg•3 months ago