Скачать или смотреть Episode 14: Agentforce Data Library (ADL) to Answer Questions From PDF Files in Agentforce Agents

In this episode, I walk you through the complete setup and usage of the Agentforce Data Library (ADL) within the Agentforce Service Agents. We start by enabling Einstein and Agentforce, assigning the Data Cloud Admin permission set, and setting up the Data Cloud App with key configurations.

Next, I demonstrate how to create an Agentforce Data Library and upload your first PDF file. I explain how ADL works behind the scenes and how it integrates with Service Agents. You’ll see how to create an Agentforce Service Agent, assign default permissions, and use Prompt Builder with the uploaded data.

You’ll see a live test where a user asks a question, and the service agent intelligently responds using the exact answer from the uploaded PDF. I also upload a second file and show how easily Agentforce adapts to multiple documents. This video is perfect for anyone looking to enhance their customer support experience with real-time document-based answers.

I also talk about the following:
RAG (Retrieval-Augmented Generation)
LLM (Large Language Model)
Data Streams
Data Lake Objects (DLO)
Data Model Objects (DML)
Unstructured Data Model Objects (UDMO)
Einstein Studio
Data Explorer
Chunks + Indexes
Data Retrievers (Default + Agentforce Data Library Retrievers)
Search Index

If you're looking to enhance your Salesforce skills and dive deeper into Agentforce, this tutorial is perfect for you!

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#Agentforce #Salesforce #SalesforceConsultant #CustomAgentActions #DataCloud #PromptBuilder #LWC #Apex #EinsteinReplies #DeveloperTools #xGenCode #RAG #AI #LLM