Lens (AI search)
GitBook Lens uses AI to help you find the knowledge you need, faster.
Simply tell Lens what you want, or ask it a question. It’ll use AI to scan your documentation and give you a simple, semantic answer — with clickable references if you want to dive deeper.
Lens is currently an alpha feature.
While Lens is in open alpha, it is available at no additional cost on all plans! 🤩
In future, we plan to incorporate Lens into our Pro and Enterprise plans, but we'll let you know before that happens.
You can enable Lens for any published space or collection in that space's or collection's customization settings. Click the customize button, go to the configure tab, and toggle the enable Lens semantic search setting on.
You can also enable Lens for your organization's internal content, allowing you to ask questions and get semantic answers about your internal knowledge base. Head to the organization settings page and, on the general tab, toggle the enable Lens semantic search setting on.
Once Lens is enabled, simply type a question into the search bar. Lens will take a few seconds to scan your documentation and summarize the results.
Let's give it a try right here in GitBook's public documentation! Firstly, open the search command palette. You'll find it in the top-right corner of the page. You can click on it to open it, or press
⌘+Kon a Mac or
Ctrl+Kon a PC.
Then, click on the Lens tab. You'll see a number of suggested questions that you might like to ask.
Ask a question with Lens.
For this example, lets try: "What makes change requests a powerful GitBook feature?" After a few seconds, you'll get an answer from Lens!
Lens gives you a semantic answer to your question.
If Lens is enabled for internal content, you'll be able to do the same thing when logged into the GitBook app: open the quick find command palette, click on the Lens tab, type a question and receive a semantic answer.
With our API, you can embed Lens into your product or website! This opens up lots of possibilities, including in-app helpers and website chat bots that can respond to questions based on the content in your documentation.
We pass your content to OpenAI to index and process data. OpenAI does not use this content for service improvements (including model training). You can find out more about how OpenAI handles data here.