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.
Extracts text content from OpenXml documents (.docx, .pptx, .xlsx) uploaded to the Umbraco media library and indexes it using Examine
Kenn Jacobsen introduces a new NuGet package for Umbraco Search that allows indexing and searching of file content, including PDF, Markdown, and text formats, without additional dependencies. The package is fully extensible for other formats, exemplified by a .docx handler. This project enhances backoffice search capabilities while validating the Umbraco Search extension model.
The Ubraco playground experiment, hosted by Debbas Gracious and co-hosted by Girish, featured developers presenting their work with Umbraco. Nitesh Babu showcased Better Icons for SVG management, while Natan Ununes discussed MCP server automation. Silano shared migration challenges, and Afrid presented a low-code workflow engine prototype. Author: Umbraco India User Group
An Umbraco backoffice dashboard that lets you search for media items by name, size, or type.
Kenn Jacobsen introduces Umbraco Search, a new search solution set to replace the existing search functionality in Umbraco. This update aims to decouple search from Examine, expand features, and simplify advanced search implementations. Currently in alpha, Umbraco Search is available for experimentation, with plans for integration into future Umbraco releases.
Kenn Jacobsen explains how to implement multiple search providers using Umbraco Search, specifically integrating Elasticsearch alongside Examine. It details the necessary configurations to run both providers simultaneously, allowing for tailored search solutions for frontend and backend content, ultimately enhancing efficiency and cost-effectiveness in search technology usage.
In the latest Umbraco DevRel Deep Dive, the discussion focused on customizing content indexing in Umbraco Search. Key topics included creating property value handlers, implementing content indexers, and utilizing notifications for indexing control. The session emphasized the importance of tailoring search functionalities to meet specific project requirements.
In this DevRel Deep Dive, the Umbraco DevRel Team discusses the new search abstraction, enhancing the search experience in the CMS. Principal engineer Kenn Jacobsen explains its development, aiming for a richer user experience and reduced dependency on Examine. The community is encouraged to test the alpha release and provide feedback.