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RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone - Softcover
Synopsis
Minimize AI hallucinations and build accurate, custom generative AI pipelines with RAG using embedded vector databases and integrated human feedback
Purchase of the print or Kindle book includes a free eBook in PDF format
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...
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....
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- PublisherPackt Publishing
- Publication date2024
- ISBN 10 1836200919
- ISBN 13 9781836200918
- BindingPaperback
- LanguageEnglish
- Number of pages334
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