Self-Reflective RAG
by AaaS · open-source · Last verified 2026-03-17
Implements the Self-RAG framework where the model learns to autonomously decide when retrieval is needed, critique retrieved passages, and reflect on its own generated output — all within a single end-to-end trained model or prompted pipeline. Covers Self-RAG training, inference-time control tokens, and evaluation against standard RAG baselines.
https://aaas.blog/skill/self-reflective-rag ↗C+
C+—Average
Adoption: C+Quality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- adaptive-retrieval-triggering, passage-critique, output-reflection, control-token-generation, retrieval-necessity-prediction
- Integrations
- huggingface, langgraph, langchain, vllm
- Use Cases
- open-domain-qa, long-form-generation, fact-checking, knowledge-intensive-tasks
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- rag-retrieval, reflection
- Supported Agents
- claude-code
- Tags
- rag, self-rag, reflection, critique, adaptive-retrieval
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
50.5Adoption
52
Quality
86
Freshness
88
Citations
50
Engagement
0