The search engine landscape in 2026 has evolved significantly. Both Apache Solr and Elasticsearch remain dominant players, but their strengths have diverged. Apache Solr, now with native KNN vector search and the {!bool} query parser for hybrid search, excels in structured data scenarios.

[opensolr_search]

Opensolr Search for WordPress A live demo site. Every post, page and WooCommerce product here is indexed with Opensolr and searchable below — hybrid vector and keyword relevance, facets, spellcheck and autocomplete, all configured from the WordPress admin. Search this site Search Try hybrid search, web c

Best practices for securing search engines against common attack vectors.

Enterprise Solr guide with AI/ML search chapters.

Enterprise search with AI, vectors, and unlimited facets.

Running Apache Solr in containers with production-grade orchestration.

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. Lexical search excels at exact matches — when a user searches for “PHP 8.3 migration g

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. Authentication uses email + API k

Get in touch with our team for questions about search integration, pricing, or technical support.Email: support@opensolr.comDocumentation: opensolr.com/faq