Opensolr is a fully managed Apache Solr hosting platform for building search on websites, e-commerce stores, mobile apps, and other applications that need relevant results. It treats the search index as something created and managed in the cloud, so users do not need to install software, manage servers, or handle uptime themselves.
The platform includes production-ready Solr indexes, a web crawler that can automatically crawl a website and index every page, and AI-powered vector search for semantic search. It also offers analytics, faceted navigation, data ingestion through a REST API that accepts JSON or XML, one-click backup and restore, team collaboration with read and write access controls, search relevance tuning, security settings, and search embedding. The documentation also describes a hosted search page for indexes that use the web crawler schema, Drupal module, or WordPress plugin indexes.
Opensolr’s documentation is organized for several use cases. It includes paths for developers who want to integrate it with code, business owners who want search on a website without writing code, and people migrating from Elasticsearch. The documentation also names CMS integrations through purpose-built connectors for Drupal and WordPress, with setup guides and a WordPress plugin. The platform’s quick-start flow covers signing up, creating an index, adding data, searching, and customizing. It also says a free account is available, with no credit card required and a free index to experiment with immediately.
In the AI space, Opensolr Search takes a focused approach. It improves search relevance and user experience on WordPress sites by combining AI-powered vector search with traditional keyword search. It is built as a B2B2C product for wordPress site owners seeking advanced search capabilities. Opensolr Search follows a freemium model. It runs on the web.
It is developed by opensolr, and it first shipped in 2026. Among its 5 catalogued features are hybrid search, faceted navigation, and AI-generated answers. The interface is available in English and Japanese. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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