A new component, Filter Suggestions, is now available to enhance search and discovery interfaces with the Agent Studio. It can be added to search results or product listing pages to suggest relevant filters based on user queries. These suggestions are grounded in available filters within the index, ensuring accuracy and reliability. By proactively surfacing the most relevant filters, this feature helps users narrow results faster, explore content more efficiently, and achieve higher-quality search outcomes. Click here to learn more. 

The Public MCP now offers enhanced configuration options, giving users greater flexibility when setting up their MCP servers. Users can toggle individual tool groups, such as Search or Recommend, to create customized configurations. Additionally, AI-generated index descriptions can now be automatically created to reduce manual setup work and speed up initial configuration, helping teams start faster and maintain consistency across environments. Click here to learn more.

Algolia SiteSearch UI Components introduce a flexible, open-source registry for creating AI-powered search interfaces faster. Built with shadcn on top of InstantSearch, these components simplify implementation across multiple use cases, including Ask AI. Developers and agents can easily customize layouts and interactions, even using generative tools like v0 or Cursor. SiteSearch accelerates development with production-ready UI patterns that reduce engineering effort and enable rapid, tailored search experiences. Click here to learn more.

The new chat component for InstantSearch allows developers to build conversational assistants directly within existing search interfaces. It includes a configurable chat widget, session memory, accessibility compliance, and product carousels - all fully compatible with Agent Studio for seamless conversational experience design. Click here to learn more.

Algolia MCP Server enables LLMs and Agents to securely access Algolia’s Search and Recommend APIs through the open Model Context Protocol (MCP). This managed, fully hosted service provides a universal gateway between AI systems and Algolia, simplifying integration and enhancing data-driven AI experiences. Click here to learn more and get started with the Algolia MCP Server. 

AI Assisted No Code Transformations is now available in Public Beta. This enhancement lets business users describe data clean-up or enrichment needs in plain English, with the system automatically generating the data transformation logic. It reduces complexity, speeds up experimentation, and ensures cleaner, better-structured data for improved search and discovery experiences. Click here to learn more.

Agent Studio introduces a developer framework that enables building business-aware AI agents in weeks, not months. The platform orchestrates across multiple indices and data sources, delivering sub-50ms global retrieval with automatic business logic enforcement. Agents understand access permissions, data relationships, and organizational rules through real-time integration with existing Algolia configurations. A single API endpoint handles LLM communication, multi-source retrieval, and tool orchestration, eliminating months of custom integration work. Click here to learn more. If you’d like access to the Algolia Agent Studio, please fill out this form. 

Dynamic Re-Ranking (DRR) Advanced is available in Beta for Elevate customers. DRR is a powerful AI feature that optimizes search results for increased relevance. This update addresses long-standing customer requests, including:

• Hourly Refresh: DRR scores are now refreshed hourly, ensuring results reflect the latest user behavior and events (previously updated daily).
• Multi-Facet Support: DRR now supports re-ranking for more than one browsing facet, allowing for more precise control over filtered searches (e.g., category and brand).
• Empty Query Re-Ranking: Unfiltered empty queries will now display the most relevant results based on overall popularity, while filtered queries will prioritize results specific to the applied filters.

By participating in the public beta, Elevate customers can leverage these enhancements to achieve significant improvements in conversion rates. 

Real-Time Data Transformation is designed to simplify data preparation for Algolia. This feature provides pre-built transformation functions for common use cases, options to manage custom transformation functions, and a preview pane to review transformation code. These tools help users prepare their data more efficiently, reducing implementation time and enhancing data quality. This leads to easier access to Algolia's advanced search and discovery features, allowing users to handle data preparation tasks independently and ensuring data is well-structured for optimal performance. Click here for more information. 

This Private Beta allows you to activate Personalization for any recommendation model with one click and view it in the dashboard. This ensures results are tailored to each user’s preferences by integrating personalization signals, improving the user experience.