Cover Image for From RAG to Agents: Making Smart AI Assistants (LLM Zoomcamp bonus module)
Cover Image for From RAG to Agents: Making Smart AI Assistants (LLM Zoomcamp bonus module)
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From RAG to Agents: Making Smart AI Assistants (LLM Zoomcamp bonus module)

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​A hands-on workshop on turning retrieval-augmented generation into agentic AI flows - Alexey Grigorev

​Description:

​Retrieval-Augmented Generation (RAG) is a common approach for building AI assistants, but most implementations stop at a single search + answer pattern. In this practical workshop, we go a step further.

​You'll learn how to make RAG pipelines more agentic: enabling decision-making, tool use, multi-step reasoning, and real-time interaction with users. We’ll build step by step, from simple retrieval to agent-powered assistants capable of asking follow-up questions, running tool calls, and updating their own knowledge base.

​What we’ll cover:

  • ​Build a basic RAG pipeline: Implement search + prompt + LLM logic using course FAQs

  • ​Add agentic behavior

    • ​Let the assistant decide when to search or answer

    • ​Introduce state, reasoning, and multi-step flows

  • ​Implement agentic search

    • ​Iterate over multiple search queries

    • ​Use search history and reasoning to refine results

  • ​Use OpenAI function calling

    • ​Add tool support: search and FAQ updates

    • ​Maintain interaction history and responses

  • ​Build a working assistant

    • ​Organize your logic with chat_assistant.py

    • ​Interact with a live, modular AI assistant

  • ​Explore PydanticAI

    • ​Define tools with type hints and docstrings

    • ​Run your assistant in a fully typed agent framework

​What you’ll get:

​A working RAG-based AI assistant that can:

  • ​Search FAQs

  • ​Decide when to act

  • ​Ask follow-up questions

  • ​Add entries to its own knowledge base

​Everything runs in Jupyter with Python. You can follow along with GitHub Codespaces or use your own environment.

​About the Speaker: 

​Alexey Grigorev is the creator of DataTalks.Club and instructor of the popular Zoomcamp series. He designs and teaches practical AI/ML workflows used by thousands of learners globally. In this workshop, Alexey brings his hands-on teaching style to the emerging field of agentic LLMs, helping you build useful assistants from scratch.

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DataTalks.Club is a global online community of people who love data.
497 Went