AI & Machine Learning

RAG for Beginners: 5 Levels of Building an AI That Actually Knows Your Stuff

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Retrieval-Augmented Generation (RAG) allows AI models to access and utilize information from user-provided documents before generating answers, significantly improving accuracy and reducing hallucinations compared to standard chatbots. The process involves loading, chunking, embedding documents into vectors, and storing them in a vector database for efficient retrieval. When a question is posed, it's embedded, similar documents are found, and then fed to a large language model to craft a contextually relevant response.

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