Why RAG matters

LLMs are trained on general corpora; answers about your products, internal policy, or IT runbooks need grounding from trusted sources. RAG couples retrieval (semantic search, metadata, ACLs) with generation.

Agents and tools

Agent patterns add chaining: plan subtasks, call APIs, run queries, then synthesize. Good designs constrain the action space, log every tool call, and validate outputs before side effects.

Recommended practices

  • Consistent document chunking and source lineage.

  • Guardrails on side-effectful actions (email, payments, deletes).

  • Human-in-the-loop for high-stakes decisions.

Constrained agents plus RAG often underpin the internal copilots that actually survive in production.