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.
Get a clear overview of your Rules with Rules Analytics. See how many are inactive, expired, stale, or low-impact, at a glance. Easily filter and act on them directly from the analytics view or within Rules management to improve or clean up your setup.
Interpreting A/B experiment results can often be complex, especially when assessing the significance of observed differences. To provide greater clarity and statistical context, confidence intervals have been introduced. These intervals help indicate the range within which the true effect is likely to fall, making it easier to evaluate the reliability of experiment outcomes. Confidence intervals are visualized on a time series chart, positioned directly below the standard A/B test results.
Algolia's Visual Editor now supports multi-item drag and drop, making bulk pinning changes more convenient and faster. Simply select which items to move and drag them to the desired position before or after other items in your results grid.
Business users can now generate product collections using natural language prompts like “vintage dresses with a floral print.” Powered by NeuralSearch, this enhancement automatically curates relevant items based on semantic relevance. It reduces manual work, speeds up collection creation, and helps teams respond quickly to seasonal trends and merchandising needs. Click here to learn more.
We've enhanced Smart Group workflows in Merchandising Studio’s Visual Editor, enabling streamlined curation across Search, Categories, and Collections. Combine index-level optimization with strategic Smart Group placement in your Compositions - all in connected, intuitive flows and through one visual interface. What's more, you can easily curate individual Groups and gain new explainability insights - for example, into the ranking factors behind them.
