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          Add a Web Retriever to a Prompt Template

          Add a Web Retriever to a Prompt Template

          Use web retrievers in prompt templates to ground your LLM prompts with relevant knowledge from web sites. Web retrievers are created when a data library that uses web search is created in Agentforce Data Library.

          Required Editions

          Available in: Lightning Experience
          Available in: Enterprise, Performance, and Unlimited Editions with the Einstein for Platform, or Einstein or Agentforce for Sales or Service add-on, or Agentforce Foundations
          User Permissions Needed
          To create and manage prompt templates in Prompt Builder:

          Prompt Template Manager permission set

          • Manage Prompt Templates
          • Execute Prompt Templates

          OR

          Customize Application permission set

          To create and manage retrievers: Data Cloud permission set
          To run prompts with Einstein Search: Data Cloud User permission set
          Note
          Note These instructions assume that, for the data library you want to use, web search has been enabled and a web retriever has been configured with search settings and web page content. To learn more, see Use Web Search in Agentforce Data Library help.
          1. In Prompt Builder, create or edit a prompt template.
          2. In the Prompt Template Workspace, click where you want to insert the web retriever.
          3. Type @ or click Insert Resource, click Retrievers, and click Configure Retrievers +.
          4. Select the web retriever you want to add to the prompt template.
          5. In the Template Settings side panel, for Search Parameters, focus your search by specifying additional criteria. Select a resource or specify search text.
            Web retriever settings, including Search Text field.
          6. Change other template settings, if you want.
          7. Click Apply and Insert.
          8. Save your work.
          9. Test your changes. Preview the prompt template and review the LLM-generated response.
           
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