The Cognigy Webchat is a powerful Tool for customers that want to implement a conversational AI into their own Websites or want to showcase a Bot for quick Demonstrations.
The Webchat can be used free of additional charges when used with Cognigy and is available for Download on GitHub.
In addition to sending and receiving regular text messages, the Webchat can also present content and provide interactive inputs in various ways to improve the user experience. Read more about that in our Webchat Features documentation.
The featureset of the Cognigy Webchat can be extended by loading additional Plugins, e.g. to give end users special input methods or display messages in an expressive way.
You can find a collection of Webchat Plugins as well as documentation on how to write your own Webchat Plugin in our Webchat Plugins GitHub repository.
To learn how to embed Webchat Plugins on your Website, take a look at the "Using Webchat Plugins" section in our embedding guide.
For instructions on how to work with Webchat Plugins from within Cognigy, please refer to our Guide on Triggering Webchat Plugins.
Embedding using GitHub instructions
Reference to Cognigy repository on GitHub
When you have set up a Webchat Endpoint in Cognigy, you can follow the embedding instructions on GitHub to see how you can implement the Webchat within your Website.
It also features an expressive technical documentation with examples for integrators, which can help you build a seamless and powerful integration into your Website.
Embedding HTML Code available in Endpoint Editor
As of release v4.9 Cognigy.AI adds a form section to the Webchat Endpoint configuration to provide embedding-ready code to users. Clicking the link "Open Embedding Documentation" below the embed field takes you to the GitHub Webchat Widget embedding documentation for detailed specifications and examples.
When hovering over the code field you will get a button displayed to copy the code to the clipboard.
That makes your Webchat configuration for your own purposes much easier now.
The embedding code just loads the webchat with the correct endpoint configured, using the latest release.