---
schema_version: "1"
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title: Power Agentforce with Complex Visual Data
collection: developer
version: current
locale: en-us
portal_url: https://docs.salesforce.com/developer/current/en-us/data-ae/power-agentforce-visual-data/guides/aes-power-agentforce-visual-data.md
canonical_url: https://developer.salesforce.com/docs/ai/power-agentforce-visual-data/guide/aes-power-agentforce-visual-data.html
source_site: developer.salesforce.com
content_type: documentation
content_hash: 75b3894ae22a33dae0f737deca6a2559f0b005ca425f9010ad2055345990f31b
products:
  - Power Agentforce with Complex Visual Data
  - data-ae
---
# Power Agentforce with Complex Visual Data

Drive informed Agentforce conversations by grounding them in your company's complex visual data. By integrating Data 360 Intelligent Context and Agentforce, you can make product diagrams, installation guides, and annotated images available to your agent at run time.

This guide covers the entire implementation process, from prerequisite requirements to building your agent, while providing practical examples to illustrate the steps along the way.

::video{src="https://developer.salesforce.com/docs/ai/power-agentforce-visual-data/guide/Gh3pvb6brKH3ZkQLhyLESb" title="Power Agentforce with Complex Visual Data" type="vidyard"}

In this demo, the fictitious company DIY Storefront uses Data 360's rich unified profile, unstructured content powered by intelligent context, and Agentforce to activate a fully grounded Agentforce agent that answers technical product questions based on complex visual data.

## Architecture Overview

```
┌─────────────────────────────────────────────────────────┐
│                    CONTENT SOURCES                       │
│  PDFs with diagrams │ Installation guides │ Product docs │
└──────────────────────────────┬──────────────────────────┘
                               │
                               ▼
┌─────────────────────────────────────────────────────────┐
│              AGENTFORCE DATA LIBRARY (ADL)               │
│         Upload → Ready status → UDMO created             │
└──────────────────────────────┬──────────────────────────┘
                               │
                               ▼
┌─────────────────────────────────────────────────────────┐
│              INTELLIGENT CONTEXT (Data 360)              │
│  LLM Parsing → Chunking → Vectorization → Search Index  │
└──────────────────────────────┬──────────────────────────┘
                               │
                               ▼
┌─────────────────────────────────────────────────────────┐
│              INDIVIDUAL RETRIEVER (Einstein Studio)      │
│       Semantic search at run time → Returns chunks        │
└──────────────────────────────┬──────────────────────────┘
                               │
                               ▼
┌─────────────────────────────────────────────────────────┐
│                     PROMPT BUILDER                       │
│  User question + Retrieved chunks → Grounded LLM answer │
└──────────────────────────────┬──────────────────────────┘
                               │
                               ▼
┌─────────────────────────────────────────────────────────┐
│                    AGENTFORCE AGENT                      │
│     Action routing → Prompt action → Agent response     │
└─────────────────────────────────────────────────────────┘
```

## Why Ground Agentforce on Visual Data?

Structured data alone can't answer complex, real-world questions. Visual and unstructured content fills that gap.

- **Enable Self-Service**: Reduce escalations and support costs with installation guides and troubleshooting diagrams.
- **Extend Knowledge**: Upload new content without rebuilding your data model, no code required.
- **Maintain Trust**: Centralize knowledge in Agentforce Data Library as a single trusted source and eliminate the risk of hallucinated answers.
- **Trusted Context Across Your Agentic Enterprise**: By using Intelligent Context, you can make all your enterprise data ready for action without moving it, power workflows, decisions, and analytics with one complete data source, and bring context and insight to your data so Agentforce can put it to work.

## Required Editions

Available in: All Editions supported by Data 360, excluding [Government Cloud](https://help.salesforce.com/s/articleView?id=ind.government_cloud_overview.htm&type=5). See [Data 360 edition availability](https://help.salesforce.com/s/articleView?id=data.c360_a_dc_editions.htm&type=5).

Learn more about the [billing considerations for Intelligent Context](https://help.salesforce.com/s/articleView?id=data.c360_a_billing_considerations_for_intelligent_context.htm&type=5).

## User Permissions Needed

| Task                          | User Permissions                         |
| ----------------------------- | ---------------------------------------- |
| To upload unstructured files  | Data 360 Architect                       |
| To set up Intelligent Context | Data 360 Architect                       |
| To configure a retriever      | Data 360 Architect and Data Space access |

## Next Steps

- [Before You Start](https://developer.salesforce.com/docs/ai/power-agentforce-visual-data/guide/aes-before-you-start.md): Review the prerequisites and prepare your org.
- [Step 1: Strategize Your Visual Data Upload](https://developer.salesforce.com/docs/ai/power-agentforce-visual-data/guide/aes-strategize-visual-data.md): Plan the types, structure, and location of the visual data you want to ingest.
- [Step 2: Configure Data 360 and Intelligent Context](https://developer.salesforce.com/docs/ai/power-agentforce-visual-data/guide/aes-configure-data-360.md): Learn how to set up the context and data pipeline.
- [Step 3: Build Agentforce Agent](https://developer.salesforce.com/docs/ai/power-agentforce-visual-data/guide/aes-build-agent-visual-data.md): Finalize the setup to activate your grounded agent.