Visualization

RAG Explainer is an interactive educational tool designed to help users understand the inner workings of Retrieval Augmented Generation (RAG) systems. Through visual demonstrations and step-by-step explanations, it breaks down the complex processes that enable AI systems to retrieve and utilize relevant information when generating responses. Key Features Interactive visualization of the RAG pipeline Step-by-step breakdown of each component in the RAG process Visual representation of text chunking strategies Vector embedding visualization with dimension explanations Real-time vector similarity calculations with color-coded overlap Demonstration of retrieval results ranking LLM prompt construction example Educational sample data with planetary information User-friendly interface with intuitive controls RAG Components Explained The tool walks users through the five key components of RAG systems: ...