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Code a simple RAG from scratch

huggingface.co · 2,030 words · saved by 2 readers

A Blog post by Xuan-Son Nguyen on Hugging Face

Recently, Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm in the field of AI and Large Language Models (LLMs). RAG combines information retrieval with text generation to enhance language models' performance by incorporating external knowledge sources. This approach has shown promising results in various applications, such as question answering, dialogue systems, and content generation. In this blog post, we'll explore RAG and build a simple RAG system from scratch using Python and ollama. This project will help you understand the key components of RAG systems and how…

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