Kenn Jacobsen explains how to run Umbraco Search entirely in memory by reconfiguring Examine indexes. While useful for small sites or corruption workarounds, it increases memory use and startup database load, especially in load-balanced environments, so persistent or external search solutions are generally preferable.
Umbraco Search will be integrated into Umbraco CMS version 19, replacing existing Examine search handling and core indexes. The new approach utilizes Umbraco Search abstractions for querying, simplifying implementations and allowing alternative search technologies. While breaking changes may occur, Umbraco Search can coexist with existing Examine implementations. Author: kjac.
Plug Azure AI Search into Umbraco Search as a fully-featured provider: filtering, faceting, sorting, culture/segment variants, and protected content out of the box.
An extension for Umbraco CMS providing a custom search engine integration with Typesense.
Umbraco Search provides an abstraction for search services in Umbraco, allowing for implementations using search providers such as Examine.
Examine search extensions for Umbraco — additional query helpers, result transformers, and index utilities.
In November 2025, Jeroen Breuer presented a session on creating an Azure Search provider for Umbraco Search using Cursor. By analyzing existing codebases and leveraging AI for research and implementation, he completed the project in two hours, significantly reducing the typical workload. The experience highlighted the importance of context in AI-assisted development.
The Umbraco India User Group hosted a session featuring Kenn Jacobsen, a four-time Umbraco MVP, discussing the upcoming Umbraco Search. This new framework allows for a provider-agnostic approach, enabling users to integrate various search technologies like Algolia and ElasticSearch. The goal is to simplify search implementation and enhance user experience.
2026-05-20 from 16:00 to 17:00 (Asia/Kolkata) - Online
SDKits announces AI Semantic Ranking support in ExamineX for Azure Search, enhancing search relevance by understanding query meanings. It employs deep learning models to re-rank results after an initial keyword search, providing useful outputs and extracted captions. Semantic ranking is included in ExamineX versions 6.2 and up, with Azure's Free tier offering 1,000 queries/month.
2026-05-20 from 16:00 to 17:00 (Asia/Kolkata) - Online
Drops a public-facing, AI-powered chat widget on a website's frontend.
Make your Umbraco site visible to AI search engines (ChatGPT, Claude, Perplexity, Gemini, Bing Copilot) and give editors visibility into who's reading the site.
Paul Seal outlines the implementation of advanced search functionality on his blog using Umbraco's new search platform. He covers components, installation, and architecture, emphasizing category filters and sorting. Key lessons include utilizing IContentService for reliability and ensuring lowercase keyword values for accurate filtering, enhancing the overall user experience.
Matt Brailsford introduces Umbraco.AI.Search, a semantic vector search add-on for Umbraco that enhances search capabilities by understanding user intent rather than relying solely on keyword matching. This tool addresses limitations of traditional searches, supports multilingual queries, and integrates with Umbraco.Cms.Search, offering improved content discovery and related content features.
Nevitech IT Solutions Ltd has released Umbraco.Community.Examine.OpenXml, a NuGet package that enables searching the contents of Word, PowerPoint, and Excel documents in Umbraco sites. This package simplifies document indexing using the OpenXml SDK and integrates seamlessly with existing Umbraco installations, requiring no additional custom code.