---
schema_version: "1"
id: 1e37a1a99501cf24cea4d61f7e75016937064b519ad9ce58182075fc6acc2260
title: Ground Agentforce in Data
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ai/264-0-0/agent_parent_data.md
canonical_url: https://help.salesforce.com/s/articleView?id=ai.agent_parent_data.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 3a1ece6cb898d9d225cb37527d30da80e19dfe848105772964d1c5bcdf93b92b
description: A great agent uses your data to provide high-quality responses. Learn about methods for connecting agents to knowledge sources, including internal data, unstructured documents, and web search.
products:
  - Agentforce
  - Cross Cloud
release: "264"
---
# Ground Agentforce in Data

A great agent uses your data to provide high-quality responses. Learn about methods for connecting agents to knowledge sources, including internal data, unstructured documents, and web search.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: Lightning Experience</td></tr><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>Enterprise</strong>, <strong>Performance</strong>, <strong>Unlimited</strong>, and <strong>Developer</strong> Editions. <a href="https://help.salesforce.com/s/articleView?id=ai.agent_setup_explore_types.htm&amp;release=264.0.0&amp;type=5" title="Learn about agent types and default templates for specific clouds and common use cases.">Required add-on licenses vary by agent type.</a></td></tr></tbody></table>

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ai-generative_ai-264-0-0-production-enus/f8ef6498-d7b2-44e3-9b34-ffd5a850aae9/images/icon_note.png)

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](https://help.salesforce.com/s/articleView?id=ai.data_library_parent.htm&release=264.0.0&type=5)**  
    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](https://help.salesforce.com/s/articleView?id=ai.generative_ai_rag.htm&release=264.0.0&type=5)**  
    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.
- **[Search the Web with Agentforce](https://help.salesforce.com/s/articleView?id=ai.agent_search_the_web.htm&release=264.0.0&type=5)**  
    Use the Search the Web action to retrieve real-time information from the internet for your agents and prompt templates. Search the Web lets you ground agents with current data like news, market trends, and competitor details that aren't available in Salesforce.

#### See Also

- [_Trailhead_: Grounding an Agent with Data](https://trailhead.salesforce.com/content/learn/modules/grounding-an-agent-with-data)