Superfast RAG with Llama 3 and Groq - Implementing a Retrieval-Augmented Generation Pipeline

Superfast RAG with Llama 3 and Groq - Implementing a Retrieval-Augmented Generation Pipeline

James Briggs via YouTube Direct link

Why We Concatenate Title and Content

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Why We Concatenate Title and Content

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Superfast RAG with Llama 3 and Groq - Implementing a Retrieval-Augmented Generation Pipeline

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  1. 1 Groq and Llama 3 for RAG
  2. 2 Llama 3 in Python
  3. 3 Initializing e5 for Embeddings
  4. 4 Using Pinecone for RAG
  5. 5 Why We Concatenate Title and Content
  6. 6 Testing RAG Retrieval Performance
  7. 7 Initialize connection to Groq API
  8. 8 Generating RAG Answers with Llama 3 70B
  9. 9 Final Points on Why Groq Matters

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