Hybrid Search Now Runs on the Proprietary Opensolr Hybrid Query Parser
Hybrid search now runs on the Opensolr {!hybrid} parser. Every vector-enabled index fuses keyword (BM25) and semantic (vector) relevance through a proprietary Solr query parser that runs only on Opensolr clusters.
01 One parser, one fused score
Keyword and vector relevance are computed on different scales, and combining them after the fact is where naive hybrid setups go wrong. Fusing them inside a single parser gives correct score fusion rather than two ranked lists stitched together.
02 Real search-mode semantics
The parser exposes genuine modes rather than a single blended weight, so you can decide how much each leg is allowed to decide.
| Mode | Behaviour |
|---|---|
Union | Either leg can contribute a result |
Keywords Required | The keyword leg must match |
Meaning Required | The semantic leg must match |
Intersection | Both legs must match |
03 What you get from it
- Natural-language queries. Questions phrased as people speak, rather than as keyword lists, work without special handling.
- Cross-lingual queries. A query in one language finds content in another.
- Semantic search over documents. Not only over short fields.