Launch a Semantic Search Pilot
Design a semantic search pilot with query evaluation, filters, and a fallback path.
The demo gap One query shines; the next retrieves a related but wrong pricing page. Relatedness feels impressive, but users need useful answers from approved sources. Embedding retrieval Real queries -> labeled passages -> top-k measure -> filters The pilot should test whether nearest passages are useful for the job, not whether embeddings can find something semantically nearby. Demo Five curated searches A measured pilot with a fallback. Similarity should be evaluated against usefulness. 01 Queries 02 Filters 03 Fallback Evidence The team has five polished demo queries and thousands of real search logs.
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