Multimodal RAG with LlamaIndex, Google AI, Gemini Pro and Qdrant

YouTube·Retrieval Augmented Generation (RAG)

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn to build a multimodal RAG (Retrieval-Augmented Generation) application in this 32-minute Spanish language video tutorial that demonstrates extracting structured information from images. Master the integration of LlamaIndex with Google AI Studio SDK, implement Gemini models, and utilize Qdrant as a vector store. Access the complete implementation through the provided GitHub repository to develop your own multimodal information extraction system combining machine learning and data science techniques.