With AI knowledge sets you can reduce the overall time invested in building and maintaining a conversational AI chatbot. With AI knowledge sets, conversational AI chatbots can ingest existing organizational content as context for generative AI. This makes it easier to create an intelligent chatbot that can answer questions specific to your organization.
In addition to being able to ingest knowledge from your organization, you can schedule updates and content refreshes. This means you can set up when your bot ingests new content as well as when your bot needs to ingest updated content. This keeps your bot up-to-date with organizational or policy changes, giving your end users the best experience.
Do you already have an existing source of knowledge content? For organizations that index content in a vector database, or want complete control over data, you can use AI knowledge stores. You can connect with existing vector databases from popular solutions, or spin one up net-new to deliver your generative conversational AI chatbot.
With AI knowledge sets you can direct your conversational AI chatbot to crawl and ingest a variety of sources, from organizational content to websites and local files. You can even crawl authenticated sources when logged in. This makes it easy to quickly spin up a knowledge bot in minutes – built on existing information that’s readily available.
Configure your conversational AI chatbot by defining variables like subject matter, description, indexing options, custom role restriction and scheduled updates and refreshes. Your bot can then crawl websites, TeamDynamix knowledge base articles and tickets, FTP files, local files and more. You can also add login methods to any web crawls to crawl authenticated web content.
We’ve gotten much further with the TeamDynamix chatbot.
Janet Magana, Systems Administrator
Western University of Health Sciences
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