Understanding Generative AI: RAG, Semantic Search, Embeddings, and Vectors

Understanding Generative AI: RAG, Semantic Search, Embeddings, and Vectors

John Savill's Technical Training via YouTube Direct link

- RAG

3 of 11

3 of 11

- RAG

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Classroom Contents

Understanding Generative AI: RAG, Semantic Search, Embeddings, and Vectors

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  1. 1 - Introduction
  2. 2 - My typical day and need for information
  3. 3 - RAG
  4. 4 - LLM refresher
  5. 5 - Orchestrators and information to LLMs
  6. 6 - Semantic index, search, vector, embeddings?
  7. 7 - Embedding models and creating vector
  8. 8 - 2 dimensions
  9. 9 - Semantic search and nearest neighbor
  10. 10 - Why embeddings and semantic search are so important
  11. 11 - Summary and close

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