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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

by University of Washington / IBM AI Research / Allen AI · free · Last verified 2026-03-17

Introduces Self-RAG, a framework that trains a single LM to adaptively retrieve passages on demand, generate text, and critique its own outputs using special reflection tokens. Unlike standard RAG, Self-RAG decides when to retrieve and reflects on retrieved passages and generation quality, outperforming ChatGPT and standard RAG on diverse downstream tasks.

https://arxiv.org/abs/2310.11511
B
BAbove Average
Adoption: B+Quality: A+Freshness: BCitations: AEngagement: F

Specifications

License
MIT
Pricing
free
Capabilities
adaptive-retrieval, self-critique, generation, factual-accuracy, reflection
Integrations
Use Cases
question-answering, fact-checking, long-form-generation, research
API Available
No
Tags
rag, self-reflection, critique, adaptive-retrieval, generation
Added
2026-03-17
Completeness
100%

Index Score

69.7
Adoption
78
Quality
90
Freshness
67
Citations
82
Engagement
0

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