
RAG Pipeline: 7 Iterations Explained!
Cyril Imhof
In this tutorial, I’ll show you how to build a multimodal RAG (Retrieval-Augmented Generation) system using Cohere’s Multi-Model embeddings and LLaMA 4 Scout (17B 16E Instruct). You’ll learn how to: - Generate image embeddings with Cohere’s multimodal model - Use LLaMA 4 Scout to reason over images and text - Combine everything into a retrieval pipeline for visual and textual queries Code: Perfect for anyone exploring AI search, vision-language models, or multimodal RAG architectures! #MultimodalAI #RAG #RetrievalAugmentedGeneration #Cohere #CohereAI #LLaMA4 #LLaMA4Scout #ImageEmbeddings #AIEmbeddings #LLM #GenerativeAI #AIDevelopment #AITutorial #MachineLearning #AIEngineer #VectorDatabase #AICoding #AIBuilders #AITutorial #MultimodalRAG #CohereTutorial #LLaMATutorial #CohereEmbeddings #ImageRAG #AIProjects #AIin2025 #BuildwithAI #OpenSourceAI #AIExplained