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

Denis Rothman

ISBN 10: 1836200919 / ISBN 13: 9781836200918

Published by Packt Publishing Limited, 2024

About this Item

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

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Bibliographic Details

• Title: RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
• Publisher: Packt Publishing Limited
• Publication Date: 2024
• Language: English
• ISBN 10: 1836200919
• ISBN 13: 9781836200918
• Binding: Paperback / softback
• Condition: New

About this title

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 retrieval datasets...

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