A crash course on RAG systems—Part 6

Part 6 of the crash course on RAG systems explores how to build a more extensive and capable multimodal RAG system using CLIP embeddings, multimodal prompting, and tool calling. The post includes a unique dataset combining social media posts with images to provide a practical learning experience. The series covers everything from foundational components and evaluation to optimization and handling complex documents, aiming to help users implement reliable RAG systems and solve key NLP challenges with LLMs.