AVA Knowledge Search

Search for answers in your document libraries.

AVA Knowledge Search Overview

Knowledge Search in AVA is a special type of chat that allows you to ask specific questions of your business documents. This Retrieval Augmented Generation (RAG) approach allows you to ask natural language questions of a large number of documents.

Your documents are managed in SharePoint and are separated into specific Knowledge Bases based on departments (such as HR or Marketing) or document type (such as resumes or past contracts). This helps AVA answer your questions with specific data references and citations from your documents.

Selecting a Knowledge Base

Before you start a Knowledge Search, you will need to select a Knowledge Base. You will see specific Knowledge Bases based on your role and credentials. It is possible that other users of AVA will have a different list of Knowledge Bases available. to them depending on their role.

Citations in Knowledge Bases

If your question returns a response from documents in your Knowledge Base, AVA will respond with a citation at the end of her response. You can click the link to open the cited document in the file viewer inside AVA.

Saving and Sharing with Workspaces

By default, AVA saves all your work to your session history, but there are more robust ways to interact with the content AVA helps you create. Rather than scrolling back through your chat or the session history, or copying AVA's answers to another app, you can save your work in AVA Workspaces. From here, you can continue editing and share your Chat and Workspace with other members of your team.

Hover over any chat message in AVA, and you will see a "Copy" icon. This will load the content of that Chat message to your clipboard to paste into your Workspace. From there, you can keep editing and formatting, as well as share your work with your team.

Managing Knowledge Bases

Knowledge Bases are managed through SharePoint. At this time, you must contact your system administrator or AVA admin to have them work with DataRM to set up new Knowledge Bases.

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