What's new in Strapi 5 docs?

Strapi 5 brings many new features and improvements, and this page quickly highlights the most important documentation changes.

The Draft & Publish feature has been fully reworked. When Draft & Publish is enabled, the Content Manager edit view shows 2 different tabs, one for the draft version and one for the published version, and both can handle different content.

The new Content History feature allows you to view and restore previous versions of your content from the Content Manager.

Strapi 5 now use documents and introduces a new Document Service API to replace the Entity Service API from v4, leveraging the new Draft & Publish system and paving the way for more upcoming features.

The REST API and GraphQL API have been updated, with a simplified response data format for both and partial support for Relay-style queries for GraphQL.

The Plugin SDK is a new CLI tool that helps you develop and publish Strapi plugins.

Another whole new CLI upgrade tool will help you migrate to any patch, minor, and major version of Strapi, automating most of the common tasks through codemods.

Also, we have some resources ready to help you upgrade to Strapi 5, including a step-by-step guide, a list of breaking changes and specific resources to read for when you will consider upgrading to Strapi 5.

We introduced a new tagging system to provide another layer of information architecture. Tags can be found at the bottom of each page. Clicking on a tag will point you to an index page listing all pages with the same tag. The list of all available tags is visible by visiting the /tags page.

You will also soon find more official guides and more references to external resources (contributor documentation, design system documentation, and blog articles) throughout the docs pages.

Also, last but not least, you might have noticed that the search bar in the top navigation bar now combines 2 buttons: the left button, Search, triggers a regular search, while the right part is our new AI-based chatbot! Click Ask AI to ask your questions. The chatbot keeps the context of previous answers, so you can ask follow-up questions as long as you don't close the chatbot window.