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RAG (Retrieval-Augmented Generation)

A technique that makes AI smarter by fetching relevant information from your data before generating a response. The AI "looks it up" instead of guessing.

What it is

A technique that makes AI smarter by fetching relevant information from your data before generating a response. The AI "looks it up" instead of guessing.

Why it matters

LLMs have knowledge cutoffs and can hallucinate. RAG grounds them in your actual data - knowledge bases, documents, CRM records - so responses are accurate and current. It's how Agentforce knows about YOUR customers, not just generic information.

How it works

  1. User asks question
  2. System searches your data for relevant info
  3. Relevant info + question sent to LLM
  4. LLM generates informed response

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