RAG
Retrieval Augmented Generation
An AI technique that enhances LLM responses by first retrieving relevant information from a knowledge base before generating an answer. Salesforce uses RAG in Agentforce and Einstein for grounding AI responses.
Example use case
Agentforce uses RAG to search Salesforce Knowledge articles and CRM data before generating a response, ensuring answers are grounded in the company's actual information.