RAG, semantic search, embedding, vector... Find out what the terms used with Generative AI mean!

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

▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
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