The Dark Side of HyDE: Why Hypothetical Document Embeddings Fail on Precise Technical Queries

HyDE (Hypothetical Document Embeddings) is praised for bridging semantic vocabulary gaps, but on precise technical API queries, the model hallucinates hypothetical parameters that steer vector search completely off course. Here is the fix.

Written and maintained by Hassan Nazir, Forward Deployed Engineer and Applied AI practitioner.