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RAG-Driven Generative AI Cover

RAG-Driven Generative AI

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

Paid access
|Oct 2024

Table of Contents

  1. Why Retrieval Augmented Generation?
  2. RAG Embedding Vector Stores with Deep Lake and OpenAI
  3. Building Index-Based RAG with LlamaIndex, Deep Lake, and OpenAI
  4. Multimodal Modular RAG for Drone Technology
  5. Boosting RAG Performance with Expert Human Feedback
  6. Scaling RAG Bank Customer Data with Pinecone
  7. Building Scalable Knowledge-Graph-Based RAG with Wikipedia API and LlamaIndex
  8. Dynamic RAG with Chroma and Hugging Face Llama
  9. Empowering AI Models: Fine-Tuning RAG Data and Human Feedback
  10. RAG for Video Stock Production with Pinecone and OpenAI
PDF ISBN: 978-1-83620-090-1
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 334

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