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.

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.

Algolia CLI v1.8.1 introduces updates that improve automation, security, and AI agent interoperability from the terminal. New capabilities include schema introspection with algolia describe, structured JSON and NDJSON output, expanded dry-run validation for mutation commands, OAuth PKCE authentication with scoped user permissions, and input validation for malformed control characters. The release also adds crawler authentication through the dashboard with algolia auth crawler and a new compositions command group for managing compositions and composition rules directly from the CLI. These updates help developers and AI agents interact with Algolia more safely, predictably, and efficiently in automated workflows. Click here to learn more.

NeuralSearch now learns query intent directly from customer engagement data. Rather than relying solely on semantic interpretation, search queries are matched against patterns derived from real clicks and conversions - so brand names, niche terminology, and ambiguous queries return results grounded in what your customers actually engage with. Coverage improves automatically over time as engagement data accumulates, with standard semantic search as a seamless fallback for queries not yet learned. Click here to learn more.

Virtual replicas are now supported directly in the Shopify integration sort configuration UI. Merchants can select attributes and choose between standard and virtual replicas without manual setup. This eliminates the need for custom JavaScript, duplicate indices, and complex workflows previously required to manage sorting. The update reduces application size, simplifies configuration within Shopify, and removes a key blocker for teams managing large catalogs or storage limits. Click here to learn more.

The Shopify integration now supports dynamic ruleContexts on collection and search pages, allowing merchandising rules to adapt based on context such as traffic source, campaign, or season. This enables different experiences for the same collection without modifying underlying data. Merchants can apply rules like pinning, boosting, filtering, or banners per context. This update removes reliance on deprecated APIs and provides more flexible, targeted merchandising control across storefront experiences. Click here to learn more.

The Shopify integration now supports indexing metaobjects, enabling rich and reusable content such as size guides, store locations, and brand stories to be searchable and filterable in Algolia. Configuration is managed directly in the Shopify plugin, including selecting metaobject types, fields, and transformations. Updates sync automatically via webhooks, ensuring records stay current without manual reindexing. This reduces the need for custom pipelines or workarounds while enriching search results with structured content. Click here to learn more.

Safety Controls in Agent Studio introduce guardrails for deploying agents in production. Configure global and per-IP rate limits to handle spikes, set limits on tokens, steps, and conversation depth to manage cost, and restrict access using domain allowlists. This helps prevent abuse, reduce unexpected spend, and ensure agents are only accessible from approved environments.

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.

The Algolia Productivity MCP now supports Claude Code, Cursor, VS Code, Gemini CLI, and Codex. Developers can connect to Algolia (via Dashboard OAuth) directly from their preferred Al coding environment and query Algolia without switching context. Each AI assistant is recognised by the MCP and matched against a redirect URI, without needing to enter a Client ID. Click here to learn more.