Data and AI releases

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Durable Objects, Workers - New Durable Object namespaces must use the SQLite storage backend

Generally availableNot yet verified

If your account does not already have a key-value (KV) backed Durable Object namespace, you can no longer create new ones. New Durable Object namespaces must use the SQLite storage backend , which has been recommended for all new Durable Objects since it became generally available ↗ in 2024.

SQLGovernancePricingDeveloper tools

Also shipped Jul 9, 2026Cloudflare in July 2026 →

Strac connector (Beta)

The Strac connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests data-security audit events from your Strac instance into Databricks. Authentication uses a Strac API key. See Strac connector .

Beta
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Genie One enhancements

- Document citations : Documents now show citations that link content back to the data and sources Genie One used to generate the document. See View citations . Document version history : Documents now keep a version history so you can review earlier versions. See View version history .

Beta
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Workflows now supports delay functions when retrying

With Workflows , you can configure built-in retry behavior for each step. Previously, you could configure step retries with fixed delay durations, such as seconds, minutes, or hours, and backoff strategies such as constant , linear , or exponential . Step retries now support dynamic delay functions.

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Workers AI - Plain text output for Markdown Conversion

The Markdown Conversion service now supports a new output conversion option that controls the format of the converted content. Set output.format to text to receive plain text with Markdown syntax removed. The default value is markdown , so existing conversions are unchanged. Use the env.AI binding: await env. AI .

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AI Search - 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). The list items endpoint returns the items in an instance.

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