Designing Our Agentic RAG System: The AI Research Assistant
Explore how to design a multi-tool agentic RAG system for an AI research assistant. Understand the importance of architectural blueprints, map user needs to specialized tools, and create a system prompt to orchestrate agent behavior. This lesson prepares you to build an intelligent agent with capabilities for deep-dive analysis, horizon scanning, and concept clarification, setting a clear plan for implementation.
In our last lesson, we took a crucial step from theory to practice. We saw the fundamental architectural difference between a static RAG pipeline and a flexible agentic RAG system, where the RAG pipeline is “promoted” to a Tool. We built a simple agent with just one tool.
Now, we will take on a more ambitious task. Before we write another line of implementation code, we will first put on the hat of an AI architect. In this lesson, we will design the complete blueprint for our course’s capstone project: a powerful, multi-tool AI research assistant. ...