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.

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.

The latest DocSearch release brings a more powerful, flexible, and conversational experience for both developers and end users. A redesigned Playground Editor offers live previews and deeper configuration control, while DocSearch v4.3 introduces Suggested Questions, a composable API, and improved UI/UX stability. Field Mapping now supports custom data shapes, expanding compatibility beyond crawler-generated content. With enhanced performance and new Ask AI–powered search on Algolia Docs, DocSearch delivers faster setup, richer customization, and smarter discovery. 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.

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.