RAG Visualization Demo

An interactive, step-by-step demonstration of how Retrieval Augmented Generation works under the hood.

PHASE 1: INDEXING• Step 1 of 4

Step 1: Document Upload

Upload a PDF document and extract its text content for processing.

💡 How it works

RAG systems begin by ingesting documents. We extract the raw text from your PDF, which will later be split into chunks and converted into mathematical vectors (embeddings) that capture semantic meaning. This allows the system to understand and retrieve relevant information based on meaning, not just keywords.

Loading PDF processor...