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

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

Learn to build a multimodal RAG (Retrieval-Augmented Generation) application that extracts information from images in this 25-minute video tutorial. Explore the implementation process using LlamaIndex framework, Google AI Studio SDK, Gemini Pro models, and Qdrant vector database. Follow along with practical demonstrations and access the complete source code through the provided GitHub repository to develop your own image-based information extraction system.