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Title & Speakers	Event
From RAG to Agents: Making Smart AI Assistants (LLM Zoomcamp bonus module) 2025-07-01 · 14:30 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. Join our slack: https://datatalks.club/slack.html	From RAG to Agents: Making Smart AI Assistants (LLM Zoomcamp bonus module)

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.

Join our slack: https://datatalks.club/slack.html

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