In this Blog post, let’s delve into practical strategies and best practices for querying the Salesforce Agentforce Data Library.

Salesforce Agentforce, leveraging the power of Salesforce Data Cloud, is transforming how businesses interact with their vast datasets to power intelligent AI agents. A key component of this revolution is semantic search, which allows agents to understand the meaning and context of queries, rather than just matching keywords. This capability is underpinned by a specialized data construct often referred to as the DataSemanticSearch object or, more accurately, a Semantic Search Collection or Search Index within Data Cloud.

Sample SOQL

SELECT Id, Name,
DataSpaceId, SemanticSearchApiName,
PrimaryDmo, VectorDmo, ChunkDmo, AttachmentDmo,
CreationType, SearchType,
RuntimeStatus, IndexRefreshedOn
FROM DataSemanticSearch