Using AWS S3 PDF Files in Salesforce Agentforce
This walkthrough shows how to integrate AWS S3 stored PDF files with Salesforce Agentforce via Salesforce Data Cloud. It addresses the challenge of making unstructured PDF content accessible to AI agents by ingesting, chunking, and indexing PDF data. After creating a custom retriever in Data Cloud and exposing it as an Agentforce data library, agents can dynamically answer questions based on specific PDF contents. Salesforce teams can build intelligent agents that leverage deep document knowledge stored externally yet accessible through Agentforce conversational topics.
- Ingest and chunk PDF files from AWS S3 into Salesforce Data Cloud using S3 File Notification.
- Create a custom retriever in Salesforce Data Cloud to access indexed PDF content.
- Expose the custom retriever as a Data Library in Agentforce setup for AI agents to use.
- Link the Data Library to Agentforce conversational topics for dynamic question answering.
- Test agents using the simulator to verify retrieval and response quality from PDFs.
Unlocking Unstructured Data: How to Use AWS S3 PDFs in Salesforce Agentforce Agents ? Introduction In the era of Generative AI, enterprise intelligence is often locked away in unstructured formats like PDF documents. For Technical Architects, Developers, and Admins, the challenge isn’t just storing these files—it’s making them accessible to your AI agents. This guide provides a technical walkthrough on how to bridge the gap between AWS S3 storage and Salesforce Agentforce. We will cover how to ingest PDF data into Salesforce Data Cloud (Data 360), create a custom retriever, and empower your Agentforce Agent to answer customer questions using that specific knowledge. Step 1: Ingest Data into Salesforce Data 360 (Data Cloud) The first crucial step is to ingest, chunk, and index your PDF files. We will utilize the S3 File Notification method to keep Data Cloud in sync with your AWS S3 bucket. Kindly ingest data into Salesforce Data 360(Data Cloud).