Semantic search across knowledge bases
Authorizations
Body
1Request semantic reranking of the candidate set. For mixed embedding spaces, the service may still rerank automatically when Cohere is configured because raw vector scores are not comparable across spaces.
1 <= x <= 100Hybrid search weighting between dense and sparse vectors. alpha=1.0 is dense-only, alpha=0.5 weights both equally. Minimum is 0.1: sparse-dominant queries on this hybrid index starve dense signal without materially improving recall, and pure sparse (alpha=0.0) sends a degenerate all-zero dense vector that Pinecone rejects.
0.1 <= x <= 1Response
Successful Response
Total candidate count before the flat results list is truncated by limit.
global_score means one embedding space ranked by raw vector score; reranked means a text reranker determined final ordering; grouped_unranked means mixed embedding spaces were returned as separate groups.
global_score, reranked, grouped_unranked Present only when mixed embedding spaces were searched without reranking. In that case the response is grouped by embedding space instead of pretending there is one globally ranked list.
Retrieval-confidence verdict for this search (ENG-671). Present only when the answerability gate is enabled (shadow/enforce) for the org; null when the gate is off. The public search API returns the verdict as DATA only — chunk suppression is the agent-path behavior and never applies to this endpoint.