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RAG-Driven Generative AI
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
E-Book
€32.99
Institutions
€125.95
E-Book
€32.99
Institutions
€125.95
Description
Table of contents
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Table of Contents
Why Retrieval Augmented Generation?
RAG Embedding Vector Stores with Deep Lake and OpenAI
Building Index-Based RAG with LlamaIndex, Deep Lake, and OpenAI
Multimodal Modular RAG for Drone Technology
Boosting RAG Performance with Expert Human Feedback
Scaling RAG Bank Customer Data with Pinecone
Building Scalable Knowledge-Graph-Based RAG with Wikipedia API and LlamaIndex
Dynamic RAG with Chroma and Hugging Face Llama
Empowering AI Models: Fine-Tuning RAG Data and Human Feedback
RAG for Video Stock Production with Pinecone and OpenAI
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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
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