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LLM - Day 5 - RAG a Intro

Retrievel Augment Generation 3 different Topics when we need RAG ? You have Private Data Source Eg., கம்பெனி குள்ள இருக்கிற Confluence dataஓ or documents ( these won't be available to public ) The…

  • RAG uses pre-processing, embedding, and vector database components
  • Pre-processing breaks documents into 500-character chunks
  • Vector database stores vectors for efficient retrieval

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