Understanding Generative AI: RAG, Semantic Search, Embeddings, and Vectors
John Savill's Technical Training via YouTube
Overview
Syllabus
- Introduction
- My typical day and need for information
- RAG
- LLM refresher
- Orchestrators and information to LLMs
- Semantic index, search, vector, embeddings?
- Embedding models and creating vector
- 2 dimensions
- Semantic search and nearest neighbor
- Why embeddings and semantic search are so important
- Summary and close
Taught by
John Savill's Technical Training