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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.
Merchandisers running time-sensitive campaigns - flash sales, Black Friday and Cyber Monday promotions, midnight launches can now select a timezone directly in the date range picker when scheduling a rule. The Dashboard defaults to your browser's detected timezone and handles UTC conversion automatically on save, so promotions start and end exactly when intended. Available in the Visual Editor.
Understanding your analytics is key to improving search performance, but finding issues or opportunities can take time.
AI Assist can now answer questions about your search analytics within the Algolia dashboard. Looking for a general overview? Ask Assist to summarize your search performance, highlight recent trends, or identify opportunities for improvement. Or, if you want to drill down into a specific question, ask about individual metrics or compare performance across indices or time periods.
To get started, open Assist and click “Analyze my search performance”, or ask your analytics question in natural language.
If you need to work with your data outside the dashboard, Assist can also generate downloadable CSVs containing the analytics you've requested, making it easy to continue your analysis offline.
DocSearch UI library v5 introduces an improved search experience powered by Agent Studio, with MCP-based tools, prompt suggestions, and conversational memory. Users can also refine results with facet filters, breadcrumbs, and badges. Customers upgrading from v4 should review the migration guide, as some Ask AI parameters have changed. Click here to learn more.
", "url": "https://changelog.algolia.com/upgrade-to-docsearch-ui-library-v5-12ufvO", "title": "Upgrade to DocSearch UI Library V5", "summary": "DocSearch UI library v5 introduces an improved search experience powered by Agent Studio, with MCP-based tools, prompt suggestions, and conv...", "date_modified": "2026-08-06T20:22:20.100Z", "tags": [ "Enhancement", "API & Libraries", "Gen AI" ] }, { "id": "445494", "content_html": "DocSearch MCP is now available in public beta, enabling MCP-compatible AI coding assistants to search current public developer documentation and answer with cited sources. No signup, API key, or authentication is required to use the hosted endpoint. This helps reduce outdated or unsupported answers by grounding responses in current documentation and making sources easy to verify. Click here to learn more.
", "url": "https://changelog.algolia.com/docsearch-mcp-brings-trusted-documentation-to-ai-coding-assistants-10dsti", "title": "DocSearch MCP Brings Trusted Documentation to AI Coding Assistants", "summary": "DocSearch MCP is now available in public beta, enabling MCP-compatible AI coding assistants to search current public developer documentation...", "date_modified": "2026-08-06T20:10:56.686Z", "tags": [ "New Feature", "Beta", "Gen AI" ] }, { "id": "445477", "content_html": "Algolia's Shopify integration now supports Shopify's native B2B catalogs, in public beta. Signed-in B2B buyers see only the products their company location is entitled to, at their negotiated prices, across search and browse. Merchants turn it on in the Algolia app under Indexing > B2B settings. Click here to learn more.
AI agents can now create Algolia accounts and applications directly from the Algolia CLI, extending agent workflows beyond managing existing accounts. Agents can also manage application settings after signup, while sensitive actions such as accepting terms, email verification, and billing changes continue to require human approval. This enables end-to-end agent-driven provisioning with appropriate safeguards. Click here to learn more.
We redesigned A/B test creation in the dashboard into one consistent experience. Select the test type, configure control and variant settings, set traffic allocation and test duration, and review the setup before launch. Contextual filtering and warnings help reduce configuration errors, making it easier to create correctly configured experiments. Click here to learn more.
Strong search starts with the right relevance settings, but it's easy for search configuration to move away from best practices over time.
You can now optimise key search settings with AI Assist, in line with your search goals and Algolia’s best practice. To start, ask AI Assist to “improve my search configuration” and select an existing index. Assist will ask a couple of questions on your industry and search goals, which will tailor its recommendations for the following core search settings: Searchable attributes, Custom ranking, Ranking and Sorting, and Typo Tolerance.
Using Algolia’s best practices, your current index configuration and information on your search goals, Assist will analyse your settings to suggest changes. For any of Assist’s suggestions, you’ll see a clear explanation and details of how your settings will change. Users with the Set-Up Search permission can click to apply all or some of Assist’s changes.
If your index is included in any active A/B tests, you can automatically propagate the same optimisations to other indices. These changes can also be shared with replicas from within Assist. All of Assist’s changes will be tracked in the audit log for your visibility.
Public MCP now supports a new multi-query signature with advanced AI search settings. Configure search parameters such as searchable attributes, ranking, and filters independently of index settings, and update them without recreating the MCP. Click here to learn more.
Recommend-based groups let you populate a Smart Group with items from an Algolia's Trending Items Recommend model into a category page or collection. You define the model to query and Algolia injects its top recommendations at the position you specify. We only support the Trending Items Recommend model. Click here to learn more.
AI Assist now understands your configuration and uses this to provide advice that's tailored and relevant. A question like “Why do I have a high no-results rate?” will be met with targeted guidance on how to change your current set-up. Assist will also provide links to navigate you to relevant parts of the Algolia platform. This allows you to quickly find the relevant solution needed to take action on an Assist conversation. Assist is aware of your application’s current subscription tier and Algolia release version, and will only direct you to features you can access.
Agent Studio is now generally available, providing a managed platform for building, deploying, and operating AI agents grounded in Algolia data. Customers can configure model providers, connect search and recommendation tools, add safety controls, and monitor conversations through a single API and dashboard. This reduces the complexity of building production-ready AI experiences while providing a consistent, scalable foundation for agent development. Click here to learn more.
", "url": "https://changelog.algolia.com/build-ai-agents-with-agent-studio-now-generally-available-37Tpu0", "title": "Build AI Agents With Agent Studio, Now Generally Available", "summary": "Agent Studio is now generally available, providing a managed platform for building, deploying, and operating AI agents grounded in Algolia d...", "date_modified": "2026-07-15T17:16:59.595Z", "tags": [ "New Product", "Gen AI", "Dashboard" ] }, { "id": "443817", "content_html": "Agent Studio now generally supports Model Context Protocol (MCP) servers, allowing AI agents to securely connect to external tools and services through a standardized interface. Customers can extend agent capabilities with approved third-party tools while controlling which tools are available and requiring human approval for sensitive actions. This makes it easier to integrate existing systems into AI workflows without building custom integrations. Click here to learn more.
", "url": "https://changelog.algolia.com/connect-ai-agents-to-external-tools-with-mcp-servers-36L0XK", "title": "Connect AI Agents to External Tools With MCP Servers", "summary": "Agent Studio now generally supports Model Context Protocol (MCP) servers, allowing AI agents to securely connect to external tools and servi...", "date_modified": "2026-07-15T17:14:57.268Z", "tags": [ "New Product", "Gen AI", "Dashboard" ] }, { "id": "443641", "content_html": "Merchandisers can now create conditionless rules - rules that ‘always apply’ i.e. without a trigger - directly in the Visual Editor. Previously these rules could only be created from the Manual Editor, putting them out of reach for business users. A new Actions menu also lets you create rules unassociated with the current page or query, in the Visual Merchandiser.
DocSearch now has a dedicated DocSearch Hub in the dashboard, bringing DocSearch resources together in one place. Access the Crawler, Ask AI in Agent Studio, indices, API keys, and UI implementation guidance from a single location. This update reduces navigation across multiple dashboard sections and makes it easier to manage and implement DocSearch.
The Visual Editor now supports custom grid layout configurations, letting merchandisers preview results in the same tile pattern used on their storefront. Configure your preferred layout once at the index level patterns like 3-4-3 and see exactly how your products will appear. Reduces guesswork and eliminates the need to validate changes on a separate staging environment.
Dynamic Facets automatically reorders facets based on how shoppers apply filters, helping surface the most relevant filtering options for each query or browsing context. Rankings are updated daily using filter usage data and returned directly in search responses without additional queries. This helps reduce the effort required to find relevant filters, improves filter engagement, and minimises ongoing manual facet merchandising. Click here to learn more.
", "url": "https://changelog.algolia.com/optimise-filtering-experiences-with-dynamic-facets-3EMGbe", "title": "Optimise Filtering Experiences With Dynamic Facets", "summary": "Dynamic Facets automatically reorders facets based on how shoppers apply filters, helping surface the most relevant filtering options for ea...", "date_modified": "2026-06-16T18:09:41.943Z", "tags": [ "New Feature", "AI Search" ] }, { "id": "441362", "content_html": "This Magento extension update introduces support for Algolia Query Suggestions, including a new configuration option in the Autocomplete menu that lets customers switch between Magento Search Queries and Algolia Query Suggestions. The release also introduces the Algolia Adapter module for server-side rendering of category and search pages, adds a configurable replica limit, and improves paging behavior by respecting Magento grid and list view settings. Breaking change: backend rendering management has been removed from the extension. Customers using server-side rendering must install the Algolia Adapter module to maintain this functionality. Click here to learn more.
", "url": "https://changelog.algolia.com/adobe-commerce-query-suggestions-and-a-new-server-side-search-adapter-lgOXu", "title": "Adobe Commerce: Query Suggestions and a New Server-Side Search Adapter", "summary": "This Magento extension update introduces support for Algolia Query Suggestions, including a new configuration option in the Autocomplete men...", "date_modified": "2026-06-09T17:20:17.610Z", "tags": [ "Enhancement", "E-Commerce Platform Integrations" ] } ] }![](\"https://img.announcekit.app/cf6d6bbc3e6f0bc6dc3634c4445e9a15?s=3452c792b242d8688e3056a7c5893efc\")
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