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.

No-Code Banners in the Visual Rules Editor enables users to create and manage banners directly through a user-friendly UI, eliminating the need for JSON coding. Banners can be displayed at the top of search and category results for customers using InstantSearch. The feature includes a Banner Consequence in the Visual Editor, support for No-Code Banners in InstantSearch, and updated documentation. 

Manually setting up and tuning personalization can be time-consuming and imprecise. With Dynamic Weights, this process is automated, continuously adapting to user behavior and seasonal trends to ensure relevance over time. It eliminates the need for manual adjustments, reducing the guesswork typically involved in assigning weights to events and facets and making experimentation with various personalization strategies a breeze. Click here to learn more.

Recommend UI library components, such as Frequently Bought Together and Looking Similar, are now integrated into InstantSearch. This unification reduces fragmentation in Algolia’s frontend libraries, simplifying the development process and enhancing the customer experience. 

Learn more: InstantSearch Guide | API Reference | Launch Blog Post

Google Analytics Events Connector allows customers to connect Google Analytics data with Algolia using a low-code interface, streamlining the integration of GA data into Algolia Insights events. This connector simplifies the process by offering a no-code UI for mapping GA data to Algolia’s Insights format. This connector minimizes the complexity of event tracking and enhances the effectiveness of event-driven features. Click here to learn more. 

Algolia introduces Generative Shopping Guides, now available in private beta, to revolutionize e-commerce content creation. Leveraging Retrieval Augmented Generation (RAG), this tool allows e-commerce sites to generate long-form educational articles based on product catalogs stored in Algolia’s Search index. These guides simplify the buying process by delivering targeted, informative content that helps consumers make informed purchasing decisions. Developers can easily configure and integrate Shopping Guides using the Algolia Dashboard and SDK, enhancing customer engagement and driving conversions. Join our private beta to explore the future of generative e-commerce content.

This release streamlines data ingestion by offering a more intuitive onboarding experience and simplified domain validation with multiple new verification methods. Product & Article helpers are available to enhance data extraction using the Schema.org JSON-LD formats, eliminating the need for manual configuration. A no-code "Configuration" page allows users to set up and schedule crawlers visually, reducing reliance on coding. Accessible directly from the Algolia dashboard, this update significantly improves ease of access and management. Click here to learn more.

The Insights API now supports authenticated user tokens and offers enhanced revenue analytics for Adobe Commerce (Magento) customers. This update, powered by the new PHP API client (v4), introduces the ability to track event subtypes and revenue data, including Magento-specific discounts. Additionally, this release enhances PII protection and improves cookie consent handling. Click here to learn more.

Enhanced API client automation and documentation are now available in beta. This update addresses the challenge of manually synchronizing our numerous API clients, ensuring consistency and reliability across new feature releases. The automated approach includes an updated API client framework with a comprehensive test suite and enriched documentation featuring detailed code snippets for every method in all supported languages. This enhancement significantly improves the developer experience, allowing for more efficient integration and utilization of Algolia's customizable search and discovery platform. Click here to learn more.

AI Personalization in the Merchandising Studio in private beta addresses a significant gap in the ranking configuration tools. Previously, configuring and visualizing the impact of AI personalization was not possible within the "Layers of Ranking" widget. With this update, AI Personalization is now integrated into the widget, inviting users who haven't activated it to configure the feature. This feature allows the selection of user tokens to visualize the impact on any query or category page, offering greater control and explainability in a no-code, unified interface. This feature is accessible to all customers in the AI Personalization private beta and will be included in the general availability launch of the feature. Watch demo here.