rag-model-training
Training code for advanced RAG techniques - Adaptive-RAG, Corrective RAG, RQ-RAG, Self-RAG, Agentic RAG, and ReZero. Reproduces paper methodologies to fine-tune LLMs via SFT and GRPO for adaptive retrieval, corrective evaluation, query refinement, self-reflection, and agentic search behaviors.
Details
- Author
- avnlp
- Category
- Code & Development
- Platform
- GitHub
- Framework
- custom
- Language
- python
- Stars
- 6
- First indexed
- 2026-05-15
- Last active
- 2026-04-08
- Directory sync
- 2026-05-15
Overview
Training code for advanced RAG techniques - Adaptive-RAG, Corrective RAG, RQ-RAG, Self-RAG, Agentic RAG, and ReZero. Reproduces paper methodologies to fine-tune LLMs via SFT and GRPO for adaptive retrieval, corrective evaluation, query refinement, self-reflection, and agentic search behaviors.
Quick start
git
git clone https://github.com/avnlp/rag-model-trainingSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What rag-model-training can do
Frequently asked questions
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Source & freshness
Profile data for rag-model-training is sourced from GitHub, published by avnlp.
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