Next book for Feb 2025! (Live meeting on 2/25 1pm PT) RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone Live event link: https://www.linkedin.com/events/7278546143876104192/comments/ You should be able to find it most places you'd get technical books • Packt (publisher) • Also on O'reilly Online Chapters: • 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 • The architecture of RAG for knowledge-graph-based semantic search • Pipeline 1: Collecting and preparing the documents • Pipeline 2: Creating and populating the Deep Lake vector store • Pipeline 3: Knowledge graph index-based RAG • 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