Data and AI releases

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D1 - Export D1 databases with virtual tables

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You can now export a D1 database that contains virtual tables, such as full-text search tables using SQLite's FTS5 module ↗︎ or spatial index tables using the R*Tree module. Previously, export failed for any database containing virtual tables. To include virtual tables in the dump, set dump_options.compatibility to sqlite3_cli_only on the D1 export API .

Developer tools

Also shipped Nov 12, 2026Cloudflare in November 2026 →

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AI Search, D1 - AI Search supports D1 databases as a data source (beta)

AI Search can now use a D1 database as a data source. AI Search runs a read-only query that you provide and indexes each returned row as a separate document. Scheduled syncs keep the index current as rows are added, changed, or removed. Create D1-backed instances from the dashboard, the REST API, or the Workers binding.

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Browser Run - Kitesurf is now open source

Kitesurf ↗︎ , Cloudflare's browser engine for AI agents, is now open source on GitHub ↗︎ under the Apache 2.0 license. You can inspect the source, run it locally, and deploy your own instance to your Cloudflare account. Kitesurf runs entirely on Cloudflare Workers.

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Rules - New hash functions , sha1(), md5(), and sha512()

Cloudflare Rules supports three new hash functions: sha1() , md5() , and sha512() . Use them to compute hashes for systems that require these algorithms. Like the existing sha256() function, each accepts a string or byte array and returns raw bytes: Function Algorithm Output length md5() MD5 16 bytes sha1() SHA-1 20 bytes sha512() SHA-512 64 bytes For...

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WAF - Manage AI Security for Apps with Terraform

You can now manage AI Security for Apps with Terraform. Version 5.29.0 of the Terraform Cloudflare provider adds two resources: cloudflare_ai_security ↗︎ : Turns AI Security for Apps on or off for a zone. cloudflare_ai_security_custom_topics ↗︎ : Defines the custom topics that AI Security for Apps scores each prompt against.

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Workers AI - EmbeddingGemma 2 now available on Workers AI

@cf/google/embeddinggemma-2 is now available on Workers AI. EmbeddingGemma 2 is an open multimodal embedding model from Google DeepMind. It maps text (including code), images, video, and audio into a single 768-dimensional vector space, so you can search a mixed collection of products, documents, and media with one text query.

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