Retrieval-Augmented Generation (RAG) technique improves model responses by retrieving external context during runtime for better accuracy.
Gemini, a Google DeepMind model, supports Multimodal RAG through Vertex AI API for generating content based on text, images, PDFs, or videos.
Gemini's ability to reason across various modalities makes it ideal for building context-aware systems for tasks like retail recommendation, contract analysis, healthcare assistance, and customer support.
Embracing multimodal AI like Gemini is crucial for developers, product owners, and researchers to build applications that understand the world visually, verbally, and contextually.