In this video I explore HOW generative AI works with your data and why terms like retrieval augmented generation (RAG), semantic index, semantic search, vectors and embeddings are so important.

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▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 Introduction
00:29 My typical day and need for information
03:58 RAG
05:16 LLM refresher
08:16 Orchestrators and information to LLMs
12:56 Semantic index, search, vector, embeddings?
15:26 Embedding models and creating vector
21:12 2 dimensions
23:58 Semantic search and nearest neighbor
26:31 Why embeddings and semantic search are so important
27:36 Summary and close

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