Step 1
Add AI Assistant to your CKEditor installation
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Add AI Assistant to your CKEditor installation
Use your API key or another authentication method to connect to your chosen AI service
Customize your preset prompts and change the look and feel to suit your app (optional)
Before going to production, make sure a server-side proxy is set up for secure data transfer
Go from straight from idea to draft with a single prompt. Make edits faster, with options to change tone, style and fix grammatical errors.
Ensure documents are easy to find and read with automatic translation, and AI-powered explanations of complex text.
Get customer insights faster with summaries of account notes. Write better client communications using AI Assistant’s language and tone settings.
AI Assistant is a premium plugin for CKEditor. To enable it, you’ll need a Commercial License, which allows you to purchase premium plugins to add to your CKEditor installation.
Want to try it out first? Sign up for a 30-day free trial to get access to all our premium plugins.
Yes, you can try all the premium CKEditor plugins for free for 30 days. Just sign up for a free trial – no obligations.
Note that the AI Assistant relies on external AI models, which may charge their own separate usage costs – these costs are not covered by our free trial.
AI Assistant is powered by the large language models (LLMs) provided through official integrations with:
OpenAI API, including GPT-3.5 and GPT-4
Amazon Bedrock, which includes access to:
Claude
Llama 2
Jurassic-2
Command
You will need to have your own API key or other access method for these services in order to set up the plugin.
You can also integrate AI Assistant with a custom AI model or any other model that doesn’t have official support by creating your own custom adapter.
Install AI Assistant in the same way as any CKEditor plugin. Because it is a premium plugin, you will need to provide a license key to activate the feature. You can obtain a license key either by purchasing the plugin or starting a free trial.
Next, you will need to integrate the plugin with an external AI model. You’ll need the following:
An account for the AI service platform of your choice.
A server-side proxy for secure data transfer between your application and the AI model. This is highly recommended for production environments, but not necessary for testing environments.
For details on integrating AI Assistant and setting up server-side proxy, see our guide.
If you choose to use the plugin with the OpenAI API or Azure OpenAI, then you need to have either an OpenAI API key or access credentials for the Azure OpenAI service. These credentials enable the plugin to interact with the AI models for content enhancement tasks. Note that there are fees associated with using either of these services, and these costs are not included in the cost of the AI Assistant plugin.
However, OpenAI API and Azure OpenAI are not the only official integrations available. If you choose to work with a different model, you won’t need an OpenAI API key or Azure OpenAI credentials.
Yes, you can customize the look and feel of the plugin to match your app, add your own predefined prompts, and change any parameters of your chosen AI model to suit your needs.
Yes, to use AI models from Amazon Bedrock, such as Claude, Llama 2, Jurassic-2 and Command with the AI Assistant plugin, you need to have an AWS account and set up Amazon Bedrock.
Note that there are fees associated with using Amazon Bedrock. The cost of using this service is not included in the cost of the AI Assistant plugin.
Amazon Bedrock is not the only official integration available. If you choose to work with different models, you won’t need an Amazon Bedrock account.
Yes. You can use AI Assistant with your own custom model, or any other AI models and services that are not officially supported. Simply create your own custom adapterto connect them with the AI Assistant plugin.
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