{
  "id": "self-rag",
  "code": "PTL-0057",
  "term": "Self-RAG",
  "aliases": [],
  "category": "retrieval-tools",
  "definition": "Self-RAG trains a model to decide when to retrieve, and to emit special reflection tokens that critique whether retrieved passages are relevant and whether its own output is supported by them.",
  "description": "Retrieving on demand rather than for every query avoids adding irrelevant context and lets the model's critique steer generation.",
  "example": null,
  "broader": [
    "retrieval-augmented-generation"
  ],
  "narrower": [],
  "related": [
    "chain-of-verification"
  ],
  "introduced": 2023,
  "sources": [
    {
      "title": "Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection",
      "authors": "Asai et al.",
      "year": 2023,
      "url": "https://arxiv.org/abs/2310.11511"
    }
  ],
  "url": "https://protologue.com/t/self-rag/",
  "citation": "Protologue. (2026). Self-RAG. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0057). https://protologue.com/t/self-rag/"
}