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

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

まだ評価がありません
Sep 30, 2024 · 英語 · ペーパーバック (334 ページ)
棚に追加

この本を評価する


ブックジャーナルをエクスポート

本の詳細

形式 ペーパーバック
ページ数 334
言語 英語
公開されました Sep 30, 2024
出版社 Packt Publishing
ISBN-10 1836200919
ISBN-13 9781836200918

説明

Denis Rothman unveils a comprehensive guide to harnessing the power of retrieval-augmented generation in the realm of artificial intelligence. This insightful work focuses on the intricacies of building tailored pipelines using cutting-edge tools such as LlamaIndex, Deep Lake, and Pinecone.

Readers will delve into a variety of techniques to enhance the generative capabilities of AI systems, learning to weave together retrieval mechanisms that significantly improve the quality and relevance of generated content. With clear instructions and practical examples, this book serves as an essential resource for those looking to innovate in AI development, whether they're seasoned professionals or enthusiastic beginners.
棚に追加

この本を評価する


ブックジャーナルをエクスポート