Code & Development · GitHub ·6 ★

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-training

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What rag-model-training can do

  • Fine Tun — fine-tun task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is 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.
How do I install rag-model-training?
Use git: `git clone https://github.com/avnlp/rag-model-training`. Full setup details on the source page linked above.
Is rag-model-training open source?
rag-model-training is published on GitHub.
What are alternatives to rag-model-training?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for rag-model-training is sourced from GitHub, published by avnlp.

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