Optional filters now work with virtual replicas, enabling boosting or burying of specific results after sorting. Previously limited to standard replicas, this capability extends advanced relevance tuning to virtual replica configurations without requiring additional replica indices. Search teams can now apply promotion and demotion strategies across all sorting configurations, combining the efficiency of virtual replicas with fine-grained relevance control. Click here to learn more.

Recommend analytics delivers clear visibility into how recommendation models perform across the site. Track clicks, conversions, revenue, and purchase rates for each model within the existing Recommend workflow. Built-in performance dashboards make it easier to quantify impact, optimize placements, and drive measurable growth towards your business goals. Click here to learn more.

Agent Studio now supports user authentication and persistent memory across sessions. This update introduces secure user identification and conversation tagging, enabling agents to maintain continuity over time. By linking interactions to user IDs, agents can retain context, recall preferences, and build on past conversations to deliver more personalized and consistent experiences. Learn more in the Conversations and Memory documentation.

Agent Studio now includes an analytics dashboard that provides clear visibility into agent usage and performance. Track key metrics such as conversation volume, tokens consumed, search calls, and unique authenticated users. These insights help teams better understand engagement, optimize agent behavior and cost, and make data-driven decisions to improve overall effectiveness. Click here to learn more.

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 Productivity MCP introduces a new type of MCP Server designed to help users perform internal actions within Algolia environments. Expanding beyond the Public MCP’s initial scope, it now includes read access to Analytics data and includes standard authentication and security flows. This addition enables users to work more efficiently by accessing a broader set of insights and information directly through the MCP, improving productivity when managing Algolia implementations. Click here to learn more. 

The Algolia Crawler now offers improved visibility, scalability, and stability for large-scale indexing. A new Logs Explorer interface lets customers view and download detailed logs for each run, making it easier to monitor execution and debug issues. Additionally, recent Crawler infrastructure upgrades boost processing efficiency and reliability at higher volumes. These enhancements give teams clearer insight into crawler operations, faster troubleshooting, and smoother data indexing performance. 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.

Ask AI now delivers a more engaging and cost-effective experience. New Suggested Questions help users start conversations faster by surfacing curated, clickable prompts that instantly generate responses. Analytics Enhancements add token-level insights for deeper understanding of conversation flow. Token Efficiency improvements reduce costs by up to 50% while maintaining speed and accuracy. Expanded provider support, including OpenRouter, Anthropic, OpenAI, and Vercel AI SDK v5, ensures compatibility with the latest LLMs. Click here to learn more.

Algolia's Search Analytics now provide data insights at the Composition level. It tracks key metrics such as popular search queries, search volumes, click and conversions rates, or revenue for specific Compositions, all presented in intuitive dashboards that are easy to filter and consume.