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. 
Ask AI adds a smart assistant to the search bar, helping users get instant answers from existing documentation content. Supports natural-language questions, follow-ups, and cited sources. Works with DocSearch and custom Algolia setups. BYOLLM model allows flexible integration with preferred AI providers. Click here to learn more. Try Ask AI in Public Beta today!
Agent Studio introduces a developer framework that enables building business-aware AI agents in weeks, not months. The platform orchestrates across multiple indices and data sources, delivering sub-50ms global retrieval with automatic business logic enforcement. Agents understand access permissions, data relationships, and organizational rules through real-time integration with existing Algolia configurations. A single API endpoint handles LLM communication, multi-source retrieval, and tool orchestration, eliminating months of custom integration work. Click here to learn more. If you’d like access to the Algolia Agent Studio, please fill out this form. 
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.
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.
A/B testing now supports multi-variant experiments, which saves time and helps customers find their optimal settings, faster. Customers can now test up to five variants (one control and four variants). In addition, A/B testing is introducing an improved UX to help better communicate A/B testing results and make way for the exciting developments we have planned. Customers now start on an overview screen that lists their recent experiments. Clicking into a test gives a full page of results with a detailed breakdown of metrics. 
Create, edit, and apply data transformations directly in the Algolia DataHub - no coding required. Easily add or remove fields, filter records, or compute new values using a guided form. This update reduces setup time, improves data quality, and makes it easier to optimize search experiences without technical support. Click here to learn more.