How does hybrid search work in Weaviate?

Weaviate runs a dense vector search and a BM25 keyword search in parallel, then fuses the results using Reciprocal Rank Fusion or a relative score ranking method. The query API accepts an alpha parameter between zero and one, where zero is pure keyword, one is pure vector, and values in between blend both. Weaviate also supports fusion-aware filtering, reranking on hybrid results, and per-property BM25 boosts. This makes hybrid search a single API call rather than client-side orchestration of two separate queries.