InstantSearch Android has been updated to support the latest Algolia Kotlin client and the Ktor 3.x framework. This update addresses compatibility gaps introduced by recent ecosystem changes and ensures InstantSearch Android works with modern Kotlin stacks. By aligning with current dependencies, this improvement removes upgrade blockers for Android developers, supports long-term maintainability, and enables continued adoption of newer Kotlin and Ktor versions without relying on workarounds. Click here to learn more.

Prompt suggestions are now available in the chat experience. When using the InstantSearch chat component, users can enable or disable contextual prompt suggestions directly within the Agent Studio interface. The prompt guiding these suggestions can be edited, and users can configure the max number of suggestions as well as the maximum word count. This provides greater control and flexibility when designing chat interactions, helping deliver more relevant and consistent conversational experiences. 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. 

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.

Collections no longer require calling the Push Task to stay up to date. You can now apply transformations using supported API clients (Go, Java, JavaScript, PHP, Python), which handle ingestion automatically. This reduces setup friction and helps business users get started faster. Click here to learn more.

Algolia Fetch enriches your Algolia data directly within the Algolia data integration workflow. You can now retrieve information from external sources via third-party APIs, enhancing the quality and relevance of your search results. Algolia Fetch lets you add valuable content, and meta data to your Algolia records from any compatible third-party API. Seamlessly integrate external data sources and leverage Data Transformation prep functions to format and restructure before ingesting into the Index. Provide more accurate and relevant search results by enhancing the data quality of your product / content catalogues. Click here to learn more.

The A/B Testing Estimator addresses challenges in testing the impact of features by using customer goals and historical data to estimate test duration and sample size, ensuring that small customers can gather actionable insights, while larger customers avoid unnecessary delays. It maximizes confidence in results, validates test feasibility, and minimizes wasted resources. Available via the API and fully integrated into all API clients and the dashboard, it accelerates experimentation, minimizes delays, and enables faster revenue realization. Click here to learn more.

Algolia Data Transformations introduces a powerful and intuitive interface for preparing, cleaning, and structuring data directly within the Algolia platform. With features such as a code editor equipped with autocomplete and debugging, pre-built helper functions for common tasks, and the ability to write custom JavaScript transformations, customers can simplify and expedite the data preparation process. Transformations can be applied both pre- and post-indexing, ensuring greater flexibility and precision. This enhancement reduces manual effort, improves data quality, and enhances the relevance of search results, enabling businesses to deliver a more seamless and impactful user experience. Explore the product guide here and request a demo using this link. 

An update to the API client SLA will provide customers with more flexibility and time to prepare for major version upgrades. The new SLA will cover both the current and the previous major version for two years following the release of a new version. This change addresses the current limitation where only the latest version was covered, which left many customers without SLA support when major versions with breaking changes were introduced. The updated SLA ensures customers have a predictable two-year window to upgrade, reducing the pressure for immediate updates and enabling better planning. This change is expected to improve customer satisfaction by offering clearer coverage and reducing support inquiries.