AI Search

AI Search is generally available

AI Search is now generally available. Usage-based billing begins on November 1, 2026, with included monthly ingestion, storage, semantic query, and full-text query usage. Cloudflare will send a reminder email the week before billing begins.

AI Search supports extensionless R2 objects with Content-Type metadata

AI Search can index R2 objects without filename extensions when they include supported Content-Type metadata. This supports object keys that do not include file extensions while preserving file-type validation during indexing.

AI Search now supports GLM-5.3 Flash

AI Search now supports @cf/zai-org/glm-5.3-flash for text generation. The model has a 1,048,576-token context window and runs on Workers AI.

New Workers AI text generation models in AI Search

AI Search now supports six additional Workers AI models for text generation:

Store larger custom metadata values in AI Search

AI Search supports larger custom metadata values within a shared 10 KiB metadata envelope for each vector. The envelope includes AI Search system metadata and JSON overhead, so it is not a per-field limit. The first 64 UTF-8 bytes of each indexed string remain filterable.

AI Search makes it easier to build a search engine for your data

AI Search gets you from a data source to a working search endpoint quickly. This release adds what you need to put that endpoint in front of real users: your own domain, authentication, and one endpoint across several instances.

Use AI Search with the Agents SDK, AI SDK, and LangChain

You can now use AI Search directly from popular agent frameworks, adding grounded retrieval to an existing app instead of calling the REST API by hand. The new Agents section has guides for the Vercel AI SDK, LangChain, and the Cloudflare Agents SDK.

Filter AI Search list items by exact object key

In AI Search, you can upload files to an instance, or connect a data source such as an R2 bucket, to make your content searchable with natural language. Each file becomes an item identified by an object key (its filename or path).

Workers AI toMarkdown and AI Search now supports GIF and BMP image conversion

Workers AI Markdown conversion ( toMarkdown ) now supports.gif and.bmp image files, in addition to the JPEG, PNG, WebP, and SVG formats already supported.

Manage AI Search sync jobs with Wrangler CLI

When you connect a data source to your AI Search instance, AI Search runs sync jobs to keep your index up to date with your content. You can now manage those jobs directly from Wrangler.

Control AI Search similarity cache freshness

AI Search now gives you more control over similarity cache freshness. Similarity cache helps reduce latency and inference cost by reusing responses for semantically similar queries.

Manage AI Search namespaces with Wrangler CLI

AI Search now supports namespace-level Wrangler commands, making it easier to manage namespaces from your terminal, scripts, and agent workflows.

AI Search instances now include built-in storage and namespace Workers Bindings

New AI Search instances created after today will work differently. New instances come with built-in storage and a vector index, so you can upload a file, have it indexed immediately, and search it right away.

AI Search now has hybrid search and relevance boosting

AI Search now supports hybrid search and relevance boosting, giving you more control over how results are found and ranked.

Website Source CSS content selectors for precise content extraction in AI Search

AI Search now supports CSS content selectors for website data sources. You can now define which parts of a crawled page are extracted and indexed by specifying CSS selectors paired with URL glob patterns.

New Workers AI models for text generation and embedding in AI Search

AI Search now supports four additional Workers AI models across text generation and embedding.

Create, manage, search AI Search instances with Wrangler CLI

AI Search supports a wrangler ai-search command namespace. Use it to manage instances from the command line.

New AI Search REST API endpoints for /search and /chat/completions

AI Search now offers new REST API endpoints for search and chat that use an OpenAI compatible format. This means you can use the familiar messages array structure that works with existing OpenAI SDKs and tools.

AI Search UI snippets and MCP support

AI Search now supports public endpoints, UI snippets, and MCP, making it easy to add search to your website or connect AI agents.

Custom metadata filtering for AI Search

AI Search now supports custom metadata filtering, allowing you to define your own metadata fields and filter search results based on attributes like category, version, or any custom field you define.