IntelLabs/RAG-FiT
Framework for enhancing LLMs for RAG tasks using fine-tuning.
Provides end-to-end RAG dataset creation, PEFT-based training via TRL, and RAG-specific evaluation metrics (EM, F1, ROUGE, BERTScore, RAGAS). Built on Hydra for configuration-driven workflows, it supports retrieval integration with frameworks like Haystack and integrates with HuggingFace Hub for model distribution. Four modular components handle dataset processing, parameter-efficient fine-tuning, inference, and multi-level evaluation metrics that operate on retrieval metadata and citations.
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767
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Language
Python
License
Apache-2.0
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Last pushed
Dec 16, 2025
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