By Sarah Mitchell , 20 March 2026

Understanding what users search for is as valuable as the search itself. Opensolr provides built-in query analytics: top searches, zero-result queries, click-through rates, and search volume trends. Use this data to improve content, identify gaps, and optimize product discoverability.

By Emma Lawson , 20 March 2026

Sometimes you need editorial control over search results. Query Elevation lets you pin specific results to the top or exclude irrelevant ones — per query, with a visual UI. Perfect for promoting landing pages, hiding outdated content, or curating results for high-value search terms.

By David Chen , 20 March 2026

Faceted search lets users narrow results by categories, price ranges, brands, or any attribute. It is essential for e-commerce and content-heavy sites. Solr excels at faceted search with docValues fields, pivot facets, and range facets. This article explains how to configure facets in your schema and display them in your search UI.

By James Crawford , 20 March 2026

A good site search starts with good indexing. The Opensolr Web Crawler handles JavaScript rendering, PDF extraction, and structured data extraction automatically. But there are best practices to follow: provide a sitemap.xml, use semantic HTML, include meta descriptions, and avoid blocking search crawlers in robots.txt.

By Sarah Mitchell , 20 March 2026

Many teams are reconsidering Elasticsearch after license changes and rising costs. Apache Solr offers a fully open-source alternative with comparable features — full-text search, faceting, highlighting, geospatial queries, and now vector search. This article covers the key differences and a step-by-step migration path.

By Sarah Mitchell , 20 March 2026

Traditional keyword search fails when customers describe products in natural language. AI-powered search with vector embeddings understands user intent — "warm winter jacket for hiking" returns relevant results even if no product contains those exact words. Opensolr combines BGE-m3 semantic search with classic BM25 keyword matching for the best of both worlds.