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RAGMedium· GraphRAG· Debugging· Pruning

You verbalize a pruned 50-node subgraph as a flat list...

A strong diagnostic approach splits the failure into two distinct possibilities. First, you must determine if the critical information was discarded during the pruning phase. If the information is present, you must then evaluate its location within the sequence, as the model’s performance may be impacted by positional bias. Treating these as separate issues allows you to distinguish between a need to adjust pruning thresholds and a need to improve reranking logic.

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