Philipp Schmid • 6/4/2024

Fine-tune Embedding models for Retrieval Augmented Generation (RAG)

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This technical tutorial demonstrates how to fine-tune embedding models for domain-specific Retrieval Augmented Generation (RAG) systems. It covers creating a dataset, using Matryoshka Representation Learning for efficient embeddings, and evaluating performance, with a practical example using financial data from an NVIDIA SEC filing.

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#Rag #Fine Tuning #Sentence Transformers
Fine-tune Embedding models for Retrieval Augmented Generation (RAG)

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