Deploying a Multimodal RAG System Using vLLM and Milvus

This blog post guides users through creating a Multimodal Retrieval Augmented Generation (RAG) system using open-source solutions Milvus and vLLM. The tutorial demonstrates how to self-host an AI application, providing full control over the technology while enhancing its capabilities. By leveraging the power of an open-source vector database combined with open-source LLM inference, users can design a system capable of processing and understanding multiple types of data - text, images, audio, and even videos. The resulting multimodal RAG system is flexible, scalable, and under complete user control, mitigating risks associated with relying solely on cloud API providers.

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