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This approach is a novel implementation of RAG called RA-DIT (Retrieval Augmented Dual Instruction Tuning) where the RAG dataset (query, context retrieved and response) is used to to fine-tune a LLM…
Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation, by Leonie Monigatti
Enhance Large Language Models Leveraging RAG and MinIO on cnvrg.io
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Introduction To Retrieval Augmented Generation - Arize AI
Retrieval-Augmented Generation (RAG) or Fine-tuning — Which Is the Best Tool to Boost Your LLM
Customization of LLM ChatBots with Retrieval Augmented Generation
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RAG, Finetuning or Both? Choosing the Right Strategy - MatrixFlows
Augmenting LLMs: Fine-Tuning or RAG? - by Damien Benveniste
RAG vs Fine-Tuning: Choosing the Best Tool for Your LLM, by Abhishek Ranjan
List: RAG methods, Curated by Pradeep Mohan
What is Retrieval Augmented Generation (RAG) for LLMs? - Hopsworks