Build RAG from Scratch
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Shows how to implement a retrieval-augmented generation pipeline in JavaScript by live-coding the components (except the LLM): creating embeddings, vectorising data, performing similarity search, and integrating a vector database to feed an LLM. Demonstrates how these pieces connect so an augmented chatbot can use up-to-date information and reduce hallucinations.
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