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Code search, Copilot, LLM prompting with empathy and Artifacts with John Berryman

Vector Podcast

CHAPTER

Understanding Retrieval-Augmented Generation

This chapter explores the intricacies of retrieval-augmented generation (RAG) and its interplay with search technologies and large language models. It emphasizes the importance of a hands-on, analytical approach for troubleshooting and optimizing RAG systems, highlighting challenges faced in building a RAG Ground App without frameworks.

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