This article describes how to build an AI system to answer questions about the Great Attractor using Model Context Protocol (MCP). In part 1 you’ll learn how to use Mage Pro to create a data pipeline that connects knowledge sources to AI systems, including fetching PDF data, cleaning the text, and preparing it for us with Antrhopic’s Claude. This approach allows for more accurate, source-specific AI responses rather than relying solely on general training data.

Master Retrieval Augmented Generation (RAG) pipelines for AI systems. Explore architectures, tools, implementation, and best practices for RAG in data engineering.