Hybrid search represents a paradigm shift in information retrieval. By combining traditional lexical (keyword-based) search with modern vector (semantic) search, we can achieve results that are both precise and contextually relevant.

[opensolr_search]

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Enterprise search with AI, vectors, and unlimited facets.

Enterprise Solr guide with AI/ML search chapters.

bool} query parser for hybrid search, excels in structured data scenarios. Its faceting capabilities rema

Complete API reference for the Opensolr Search platform. Covers all REST endpoints: query parameters (q, fq, fl, sort, rows, start, defType, qf, pf, mm, bf), faceting (facet.field, facet.query, facet.range), highlighting (hl, hl.fl, hl.fragsize), spellcheck, and the Data Ingestion API.

How vector search is transforming information retrieval with semantic understanding.

Running Apache Solr in containers with production-grade orchestration.