AI Agent Creation Overview
Learn how to create a fully functional AI Agent including semantic classification, retrieval augmented generation, process handling, third-party integrations and more.
Last updated
Learn how to create a fully functional AI Agent including semantic classification, retrieval augmented generation, process handling, third-party integrations and more.
Last updated
Follow the steps in the video tutorials below to create your AI Agent one step at a time, or click the links to read through the detailed instructions of each section.
The Quick Start AI Agent is an optimised journey that really simplifies the process of creating an AI Agent. It is the fastest way to get up and running with OpenDialog.
Adding new topic of discussion allows your AI agent to answer questions and engage in conversations beyond the initial scope, creating a more dynamic and comprehensive user experience.
Now, we obviously want our AI Agent to provide more relevant and precise information to our users, using dynamic responses based on your own knowledge sources.
Handling processes needs specific attention because they have a well defined series of steps (and sequence) and a well-defined end goal.
Throughout the course of a conversation, we may want to communicate with systems outside of OpenDialog to send or receive data. This may be as simple as a "ping" to a URL representing a milestone in the user's journey, or an integration with an external data source which takes some input data from the conversation, and outputs some new data to return to the conversation.
Your AI Agent is almost ready to launch! Before you publish it, let’s make sure it’s optimised for the best user experience.
Ready to hit Publish? Amazing! Using OpenDialog's Alias feature, you can easily embed your AI Agent on your website or your application in no time and do A/B testing along the way thanks to it's flexible setup.