IntelLabs/RAG-FiT
Framework for enhancing LLMs for RAG tasks using fine-tuning.
This framework helps AI developers improve how well Large Language Models (LLMs) answer questions using external knowledge. It takes your existing RAG (Retrieval Augmented Generation) technique and a dataset, then generates specialized data for fine-tuning your LLM. The output is a more accurate LLM and detailed metrics showing its improved performance in RAG tasks.
767 stars.
Use this if you are an AI engineer or researcher working with LLMs and want to systematically fine-tune them to perform better when retrieving and using external information for generating responses.
Not ideal if you are looking for an off-the-shelf solution for RAG without needing to fine-tune models or if you are not comfortable with model training workflows.
Stars
767
Forks
61
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 16, 2025
Commits (30d)
0
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