RAG - Extracting Information from PDFs Using LlamaIndex, Gemini, and Nvidia NIM with Llama 3.2

RAG - Extracting Information from PDFs Using LlamaIndex, Gemini, and Nvidia NIM with Llama 3.2

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Watch a 41-minute Spanish language tutorial demonstrating how to extract information from PDF documents using LlamaIndex framework in combination with different models - Gemini and Nvidia NIM for embeddings, and LLama 3.2 3B as the language model. Learn the practical implementation of RAG (Retrieval Augmented Generation) through a detailed walkthrough, with access to the complete code notebook on GitHub for hands-on practice. Master the techniques of building conversational AI systems that can effectively process and respond to queries about PDF content using state-of-the-art machine learning models.