A great agent uses your data to provide high-quality responses. Identify your data
types, and use Agentforce Data Libraries to organize and link your data to agents with the
Answer Questions with Knowledge action.
Note Beginning in April 2026, agent topics are now called subagents. There are no
changes to functionality. During this transition, you may see a mix of the new and previous
terms in our documentation.
Agentforce Data Library Improve accuracy, add personalization, and build trust in gen AI responses when you assign data libraries to your Agentforce features. Agentforce Data Library uses grounding to index your knowledge articles and fields, your file uploads, or web sources, so that AI agents know which information to base responses on. With this index, AI agents can ensure the accuracy of LLM responses against your organization’s information so that you get the best results.
Retrieval Augmented Generation Use Retrieval Augmented Generation (RAG) in Data 360 to improve large language model (LLM) responses for agents and users. RAG is a framework for grounding prompts with relevant, accurate knowledge from unstructured data sources.
We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required Cookies
Always Active
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional Cookies
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising Cookies
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.
