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.
Multimodal RAG with LlamaIndex, Google AI, Gemini Pro and Qdrant
The Machine Learning Engineer via YouTube
Overview
Syllabus
RAG: Multi-modal RAG con Llamaindex, Google Ai, Gemini Pro y Qdrant #machinelearning #datascience
Taught by
The Machine Learning Engineer
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