Salesforce Data Cloud Ingestion from Sitemaps - Implementation Template

This application enables users to integrate Salesforce Data Cloud with Sitemaps to allow them to surface unstructured data, powering a variety of generative AI use cases. It handles the orchestration required to ingest both content and its associated metadata from Sitemaps to be used in conjuction with Data Cloud's vector database.

High level architecture

Capabilities

The Salesforce Data Cloud Ingestion from Sitemaps Process API can be used to synchronously and asynchronously ingest data into Data Cloud from Sitemaps sources. It supports the following functionality:

• PollFullRefresh - Allows the ingestion of metadata for unstructured data from Sitemaps to Data Cloud for content of interest.
• Retrieve Content - Allows retrieving content from Sitemaps for the requested resource in Data Cloud to support various Einstein AI use cases.

Additional resources

• The Setup instructions page outlines the steps to configure the data source and deploy the application to Anypoint Platform.
• The Application details page provides additional information regarding application design and functionality.
• The Data mappings page describes how the request and response data structures are mapped between Sitemaps and Salesforce Data Cloud.
• This integration implements the Salesforce Data Cloud Ingestion Process API specification to ingest content and its associated metadata from source systems into Salesforce Data Cloud.
• Refer to the MuleSoft Direct for Data Cloud solution for more information about the use case.
• See the Data Cloud documentation for more details about implementing the use case and making use of the ingested unstructured data in Data Cloud.