With AI knowledge sets, you can reduce the overall time invested in building and maintaining a conversational AI virtual support agent (VSA). With AI knowledge sets, VSAs can ingest existing organizational content as context for generative AI. This makes it easier to create an intelligent agent that can answer questions specific to your organization. In addition, the VSA can pull live information from the web and ingest and reference images alongside text content.
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 VSA ingests new content, as well as when your VSA needs to ingest updated content. This keeps your agent 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 VSA.
With AI knowledge sets, you can direct your conversational AI VSA 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 agent in minutes – built on existing information that’s readily available.
Configure your conversational AI VSA by defining variables like subject matter, description, indexing options, custom role restrictions, 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.
The key to great self-service is a thorough knowledge base, but what happens if a knowledge article hasn’t been created yet for a specific issue? When the knowledge base doesn’t have the answers, your Virtual Support Agent (VSA) can pull live information from the web and surface possible resolutions. For organizations that don’t yet have a robust knowledge base, or those that want to serve a more general audience without reliance on organization-specific curated content, AI web search can fill that gap.
We’ve gotten much further with the TeamDynamix chatbot.
Janet Magana, Systems Administrator
Western University of Health Sciences
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