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Explore how to build a Retrieval Augmented Generation (RAG) system from scratch in this live coding session presented by Phil Nash at NDC Porto 2024. Learn the fundamental components that make RAG systems effective at providing large language models with up-to-date information while reducing hallucinations. Through hands-on demonstrations, discover the inner workings of vectorization, similarity search, embedding models, and vector databases. Follow along as all these components are assembled into a functioning augmented chatbot. Gain valuable insights into why successful chatbots work and how their underlying architecture supports accurate information retrieval and generation. Perfect for developers interested in understanding the mechanics behind modern AI systems that combine retrieval with generation capabilities.
