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Evaluates RAG outputs on faithfulness, answer relevancy, and context precision using an LLM-as-a-Judge backend. Exposes tools for running evaluations, scoring individual samples, and checking thresholds, enabling CI gating and on-demand assessment via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LLM Evaluation Harness MCP Server" yet — see the docs or source repo.