Have a personal or library account? Click to login
RAG-Driven Generative AI Cover

RAG-Driven Generative AI

Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone

Publisher:Packt Publishing Limited
By: Denis Rothman  
Paid access
|Oct 2024
Product purchase options

Metrics

PDF ISBN: 978-1-83620-090-1
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 334
Related subjects:
Computer sciences,
Databases and data mining

People also read

Unlocking Data with Generative AI and RAG
Book

Unlocking Data with Generative AI and RAG

Bourne, Keith, Es, Shahul
Mastering Retrieval-Augmented Generation
Book
Coming soon

Mastering Retrieval-Augmented Generation

Josyula, Prashanth, Karanbir, Singh
Generative AI for Everyone
Book

Generative AI for Everyone

Sabesan, Karthikeyan, Sivagamisundari, Sivagamisundari, Dutta, Nilip
Building AI Intensive Python Applications
Book

Building AI Intensive Python Applications

Palmer, Rachelle, Larew, Nicholas, Perlmutter, Ben, Narváez, Sigfrido, Gangadhar, Ashwin, Rueckstiess, Thomas, Weller, Henry, Alake, Richmond, Ranjan, Shubham
Building Intelligent Applications with Generative AI
Book

Building Intelligent Applications with Generative AI

Ramhorry, Yattish
Generative AI Essentials
Book

Generative AI Essentials

Singh, Dr. Priyanka, Singh, Hariom
Building Generative AI Applications with Open-source Libraries
Book
Coming soon

Building Generative AI Applications with Open-source Libraries

Balakrishnan, Srikannan
Generative AI with Python and PyTorch
Book
New

Generative AI with Python and PyTorch

Babcock, Joseph, Bali, Raghav
A Generative Journey to AI
Book

A Generative Journey to AI

Ramchandani, Toni
Building Data-Driven Applications with LlamaIndex
Book

Building Data-Driven Applications with LlamaIndex

Gheorghiu, Andrei