Real-time Personalization adapts search and discovery experiences, based on each user’s live behavior in-session. Instead of relying only on past data or segments, businesses can now serve both first-time and returning users with more relevant results and content, improving engagement and increasing conversions. Click here to learn more.
Smart Groups in the Composition API now support placement of results from external sources, such as Retail Media Networks or recommendation engines. At query-time, external objectIDs can be passed and placed into predefined Smart Groups, with flexible options to preserve external ranking or re-rank using AI and Index Rules. In Merchandising Studio, users can preview Smart Group placeholders in the Visualize page and configure them in the Composition Rule Editor. This enhancement streamlines integration of external results, giving retailers and marketplaces more control, visibility, and impact on engagement and revenue. Click here to learn more.
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.
Ask AI is now generally available, expanding beyond documentation search to support broader site experiences - across support portals, blogs, marketing pages, and more. With new flexible UI options and streamlined setup, teams can quickly deploy accurate, conversational search powered by Algolia and the LLM of their choice. Click here to learn more.
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.
v3.16 gives more control over indexing and merchandising. A new Indexing Manager centralizes visibility, reindexing, and dashboard access while making full indexing from indexer_reindex_all_invalid optional. Products and CMS pages can now be reindexed directly from grids, CLI tools give explicit control over full reindexing, and queue management now works without a separate crontab. Merchandising improves with dynamic faceting for more relevant filters and no-code redirects that guide shoppers in Autocomplete and InstantSearch. Click here to learn more.
Shopify merchants, now benefit from improved indexing performance with a new engine designed for scalability and reliability. Indexing is more consistent during high-traffic periods, ensuring fresher product data is available sooner. The update also unlocks access to data transformations and fetch for greater customization, along with a new Connection Debugger that provides visibility into indexing operations and helps merchants troubleshoot issues directly. Now automatically available to all merchants not leveraging Shopify's Markets feature.
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.
