From the course: Chat with Your Data Using ChatGPT
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Extend your agentic RAG system - OpenAI API Tutorial
From the course: Chat with Your Data Using ChatGPT
Extend your agentic RAG system
Congratulations on making it to the end of the course. You've built something real. You didn't just wire together prompts, you design an agent with a mission, supplied it with knowledge, gave it memory, taught it how to plan and act, equipped it with tools, and wrapped it all in an interactive chat experience. That combination is what makes this system agentic. If you want to add a new capability, You don't need to redesign the agent from scratch, you simply add a new tool. For example, instead of a pattern analyzer, you might add a fact-checking tool, or a citation extractor, or a scoring function that ranks hypotheses by confidence. The agent remains the same. You're simply expanding what it can do when it encounters a certain type of task. The same idea applies to changing use cases. In this course, the story was an undeciphered manuscript. In practice, the exact same architecture can support very different scenarios. A research assistant that reviews technical papers. A compliance…
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