Building a RAG Chatbot in 45 Minutes: A No-Code Guide I built a RAG (Retrieval-Augmented Generation) chatbot in just 45 minutes—without writing a single line of code. This is an excellent way to learn or create a solution for an AI product manager portfolio. But how does it actually work? First, RAG isn’t just about vector storage. It can retrieve information from various data sources like Google Drive, SQL databases, or plain text files.
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