How does the Data Cloud + Agentforce integration work?

Data Cloud serves as the grounding data layer for Agentforce AI agents. Integration points:

1. Unified Profile as Context — when an Agentforce agent handles a customer interaction, it queries the Data Cloud Unified Profile via the Profile API to retrieve the customer's attributes, segment memberships, and Calculated Insights. This context is injected into the LLM prompt to generate personalized, informed responses.
2. Vector Search for Grounding — knowledge base content (articles, product documentation) stored as vector embeddings in Data Cloud is retrieved using semantic vector search and included in the agent's prompt for RAG (Retrieval-Augmented Generation), preventing hallucinations.
3. Data Actions as Agent Triggers — Agentforce agents can be triggered by Data Actions when segment changes indicate a customer need.
4. Segment-Driven Agent Assignment — route customers to specialized agents based on Data Cloud segment membership (e.g., VIP customers route to premium support agents).