Agent Studio is now generally available, providing a managed platform for building, deploying, and operating AI agents grounded in Algolia data. Customers can configure model providers, connect search and recommendation tools, add safety controls, and monitor conversations through a single API and dashboard. This reduces the complexity of building production-ready AI experiences while providing a consistent, scalable foundation for agent development. Click here to learn more.

Agent Studio now generally supports Model Context Protocol (MCP) servers, allowing AI agents to securely connect to external tools and services through a standardized interface. Customers can extend agent capabilities with approved third-party tools while controlling which tools are available and requiring human approval for sensitive actions. This makes it easier to integrate existing systems into AI workflows without building custom integrations. Click here to learn more.

Merchandisers can now create conditionless rules - rules that ‘always apply’ i.e. without a trigger - directly in the Visual Editor. Previously these rules could only be created from the Manual Editor, putting them out of reach for business users. A new Actions menu also lets you create rules unassociated with the current page or query, in the Visual Merchandiser.

DocSearch now has a dedicated DocSearch Hub in the dashboard, bringing DocSearch resources together in one place. Access the Crawler, Ask AI in Agent Studio, indices, API keys, and UI implementation guidance from a single location. This update reduces navigation across multiple dashboard sections and makes it easier to manage and implement DocSearch.

The Visual Editor now supports custom grid layout configurations, letting merchandisers preview results in the same tile pattern used on their storefront. Configure your preferred layout once at the index level patterns like 3-4-3 and see exactly how your products will appear. Reduces guesswork and eliminates the need to validate changes on a separate staging environment.

Rule Tags introduce a flexible categorization system for organizing rules at scale, available in the Algolia dashboard and Merchandising Studio. Tags can be created, edited, and applied to rules individually or in bulk, then used to filter the rules list. Teams managing large rule libraries can now group rules by campaign, owner, or function to improve discoverability and coordinate cleanup.

Customers can now promote the winning variant of an AB test with a few clicks from the dashboard UI. This enhancement allows users to declare a winner after an AB test and then copy those settings to their production index. Users can easily promote all query parameters and index settings, as well as settings for Personalization, Dynamic Re-Ranking, and Neural Search. Variant promotion for multi-index tests does not copy rules or synonyms and we recommend reviewing your production settings after promotion. Customers can revert their settings within 14 days of a change, providing flexibility to restore previous configurations if needed. 

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.

Collection limits have been significantly increased to support larger-scale operations. Premium plans now include 500 collections per index, Elevate plans support 1,000 collections per index, with each collection supporting up to 10,000 manual records and 50 conditions. This reduces trade-offs between campaigns and enables more targeted seasonal collections for improved user engagement.

Assist helps customers move faster by providing immediate, relevant answers within the platform. Whether customers need a high-level overview of implementing a new feature or specific guidance on troubleshooting, Assist provides support grounded in documentation, and suggested follow-ups to help progress workflows.

All responses are generated from Algolia’s documentation, support guidance and merchandising playbook, with citations included to help validate answers and explore further. Assist is currently available within the Algolia platform in a public beta, and can be accessed in the top right-hand corner of the platform.