RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone - Softcover

Denis Rothman

  • 3.82 out of 5 stars
    11 ratings by Goodreads
 
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Synopsis

Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback

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Key Features

  • Implement RAG’s traceable outputs, linking each response to its source document to build reliable multimodal conversational agents
  • Deliver accurate generative AI models in pipelines integrating RAG, real-time human feedback improvements, and knowledge graphs
  • Balance cost and performance between dynamic...

About the Author

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, and as a student, he wrote and registered a patent for one of the earliest word2vector embeddings and word piece tokenization solutions. He started a company focused on deploying AI and went on to author one of the first AI cognitive NLP chatbots, applied as a language teaching tool for Moët et Chandon (part of LVMH) and more. Denis...

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  • PublisherPackt Publishing
  • Publication date2024
  • ISBN 10 1836200919
  • ISBN 13 9781836200918
  • BindingPaperback
  • LanguageEnglish
  • Number of pages334
  • Rating
    • 3.82 out of 5 stars
      11 ratings by Goodreads