WEBVTT

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Introduction to building blocks of retrieval-augmented generation

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Technology stack for building retrieval-augmented generation applications

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Understanding large language models and their core capabilities

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The rapid growth and enterprise adoption of language models

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Challenges with language models in enterprise production environments

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Overcoming language model challenges using retrieval-augmented generation

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Processing data with document loaders and text splitters

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Converting data chunks into high-dimensional vector embeddings

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Combining retrieval algorithms and prompts for accurate generation

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Visualizing the end-to-end data pipeline and application workflow

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Live demonstration of a retrieval-augmented generation application

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Summary of the complete retrieval-augmented generation architecture