Agent Studio now supports the Agent2Agent (A2A) protocol, enabling external agents and orchestration frameworks to discover and interact with Agent Studio agents. Standardized agent cards allow compatible clients to identify agent capabilities and delegate tasks without Algolia-specific integrations. This simplifies integration with multi-agent workflows and enables greater flexibility in building AI applications. Click here to learn more.

Agent Studio now supports automated evaluations to help assess agent performance before deployment. Test cases are generated from your search index and scored for relevance, faithfulness, and tone. View scores, pass rates, and confidence levels, then compare evaluation runs to measure improvements after configuration changes. This helps teams make informed updates with less manual testing. Click here to learn more.

Automated suggestions proactively recommends Algolia features based on search performance and potential business impact. The initial release covers Dynamic Re-Ranking, Personalization, and NeuralSearch. View prioritized recommendations in the Algolia dashboard, understand their expected benefits, and access the relevant features to optimize search performance.

Dynamic Re-Ranking now offers a setting that combines clicks and conversions across records in the same Distinct group. This helps rank products based on engagement across their variants rather than treating each record separately, improving how product-level popularity influences search results. Click here to learn more.

The No results agent in AI Assist analyzes searches that return no results and recommends ways to improve search performance. It identifies potential issues with search settings, searchable attributes, and synonyms, then suggests targeted fixes. Apply supported changes directly in AI Assist or follow guidance to address other issues, helping more users find relevant results.

No more jumping between two rule editors. You can now build every type of rule right in the Visual Editor - context-only rules, remove or replace a word, replace a query, return custom data, and apply search parameters - along with matching facet placeholders for the Filter and Boost matching attributes consequence. Together with conditionless rules, which landed a few months ago, that means the full set. Set up your rules and preview exactly how they'll behave, all in the place you already merchandise. Click here to learn more.

Query Suggestions can now provide more relevant suggestions when shoppers search within a specific category, department, brand, seller, or other scope. Configure a browsing facet in the Dashboard to use your existing catalog structure and show suggestions that match the shopper’s selected scope. This makes experiences such as “Search within this category” easier to build and more relevant. Click here to learn more.

A/B testing now supports Bayesian experimentation as an additional method for analyzing experiments. Bayesian results show the probability that a variant performs better and provide credible intervals on the likely uplift of business metrics. Customers can choose between Bayesian and frequentist methods when creating a test and receive guidance when results indicate a Bayesian test is ready to stop.

When a pinned product becomes unavailable (because it went out of stock for example), Algolia previously filled that position with an organic search result, breaking the merchandiser's intended curation order. Now, we have introduced a new toggle “Shift pins to close gaps” in the Visual Editor when pinning which fixes this: enable the toggle on a rule and continuous pins will form a ‘pin block’ - when one pinned item inside the block becomes unavailable, the others shift up automatically. Off by default on existing rules, on by default for new ones. You can have many pin blocks or one big pin block. Learn more in this Algolia blog post and review the additional documentation here.

The Algolia AI Search & Discovery app for Shopify now supports version 5 of the JavaScript API client. Some stores have been automatically migrated from v4 to v5 with the compatibility layer. You can review or change your current search client version under Search options → Search client version to either v5 (recommended), v5 with compatibility layer (which runs v5 while keeping most v4 calls working), or v4 (deprecated).

If your storefront uses custom JavaScript that calls the Algolia client directly, we recommend switching to v5 with compatibility layer first, then updating deprecated v4 calls using the JavaScript upgrade guide.

The compatibility layer is scheduled to be removed on February 14, 2027. Stores using custom v4 client calls should update their code and switch to v5 before then. JavaScript client v4 reaches the end of Algolia support on August 14, 2026, after which Algolia Support can no longer provide support for v4-specific issues.