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VECTOR-SEARCH5 MIN READ

Debug Empty Search Results

Diagnose empty or irrelevant vector-search results by separating corpus, query, filter, and ranking failures.

The symptom A known refund policy returns zero useful results for a support query. The fastest bad fix is to blame embeddings before checking corpus and filters. Five Whys for retrieval Symptom -> layer -> evidence -> root cause Ask why the result failed at each retrieval layer: corpus, chunk, query, filter, ranking. Shortcut Retune embeddings immediately A specific layer to fix, not a vague relevance complaint. A retrieval failure is only actionable when you can name the layer that dropped the evidence. 01 Confirm corpus 02 Remove filters 03 Now you try Step 1 The policy exists in Google…

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