By Markus Weber , 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 Perfect for promoting landing pages, hiding outdated content, or curating results for high-value search terms.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 Antti Korhonen , 20 March 2026

Drupal has long relied on Search API Solr for search functionality. With Solr 10 introducing a 1,000-field limit, the traditional approach of mapping every Drupal field to a Solr field hits a wall. The Opensolr approach is different: let the web crawler index your pages as users see them, with AI enrichment happening server-side. Zero load on your Drupal server, unlimited scalability.

By Katrin Hoffmann , 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 Liisa Virtanen , 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 Thomas Brandt , 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.

By Sarah Mitchell , 20 March 2026

Apache Solr is a powerful open-source search platform built on Apache Lucene. Opensolr provides fully managed Solr Cloud hosting, meaning you get a production-ready Solr instance in under a minute — no server setup, no Java configuration, no infrastructure management. This guide walks you through creating your first index, configuring your schema, and running your first search query.