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Stop Parsing AI Text: Build Reliable Features with Structured Outputs

A model returns this response: Priority: high Team: billing Reason: The customer was charged twice. Your application needs this: { "priority" : "high" , "team" : "billing" , "reason" : "The customer was charged twice." } They look equivalent to a person. To software, they are completely different interfaces. The first response must be interpreted. The second can be validated. That distinction…

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Agentic RAG: making retrieval a decision the agent controls

Short answer Agentic RAG is retrieval-augmented generation where the agent decides when to retrieve, what to query, and whether the results are good enough — sometimes searching again — instead of…

  • Agentic RAG refines RAG approach, controls retrieval decision-making.
  • Classic RAG retrieval is fixed pipeline step, agentic RAG has decision loop.
  • Agentic RAG three capabilities: retrieval on demand, query formulation, result grading.