GraphRAG evaluation metrics

Designing a Three-Layer Evaluation Framework for Cross-Repository GraphRAG

A comprehensive evaluation architecture for GraphRAG systems operating across multiple repositories. This post introduces the retrieval → reasoning → generation framework with specific metrics, target thresholds, and implementation code for each layer.

Why Standard Coding AI Benchmarks Fail for Cross-Repository Systems

Existing benchmarks like HumanEval, MBPP, and SWE-Bench assume single-file, isolated context and cannot evaluate GraphRAG systems that reason across tens of thousands of files, multiple repositories, and evolving services. This post explains the unique failure modes in cross-repository retrieval and what metrics actually matter.