Training your conversational AI model with existing content from your business can be helpful to get started fast and keep your bot up-to-date.

Your chatbot can leverage this data and help you provide high-quality and relevant information for users or customers. This can also help you create ChatGPT-like experiences.

Easily leveraging existing content from documents and online resources is made possible by the Knowledge Base capability in Zammo.

In this How To, you will learn how to implement a Knowledge Base which includes these elements:

• creating a knowledge base
• creating a data source
• adding content to a data source
• setting indexing configurations
• initiating indexing

Concepts

The following concepts and components are used to provide this capability:

• Azure AI Search - provides data indexing and querying services. This topic is explored further in the article Overview of Azure AI Search.

• Zammo Knowledge base - represents an entire knowledge base. One knowledge base can contain many data sources.