Create an Agentforce Data Library: an Agentforce Architecture Guide

What is Create an Agentforce Data Library in Agentforce architecture?

In Agentforce architecture, build a governed knowledge source that gives agents relevant business context. This guide explains the design decisions, controls, and implementation checks needed to apply the pattern in production.

An Agentforce Data Library packages approved knowledge for retrieval by an agent. Its value comes from disciplined source selection and maintenance, not from the number of documents ingested.

The library should represent a bounded knowledge product with an owner, audience, freshness expectation, and explicit relationship to the jobs the agent performs.

Build a governed library

• Include only sources that are authoritative for the agent's approved use cases.
• Separate conflicting audiences, regions, products, or policy versions when retrieval could mix them incorrectly.
• Preserve permissions and avoid loading sensitive material simply because it is technically accessible.
• Assign content owners and define how updates, removals, and superseded versions are handled.

Prepare and validate the library

1. Inventory candidate files, articles, websites, and transcripts and remove obsolete content.
2. Test chunk quality with questions that require context spanning headings, tables, or exceptions.
3. Verify both expected answers and cases where the library should not provide an answer.
4. Monitor retrieval gaps and stale citations as an operational content backlog.