Build a Custom Chatbot with LLMs + RAG

Workshop Links to follow along:



Have questions after the live stream?

Most modern chatbots today use Large Language Models(LLMs), Retrieval Augmented Generation(RAG), and scalable workflows to create a unique conversational experience!


The Modern MLOps tooling will also provide a reliable framework for your machine learning operations by streamlining processes, increasing efficiency, and adding reproducibility to your AI applications.

This workshop will cover:

Using LLMs
Building RAG system for information retrieval
Prompt engineering

What you'll need to follow along:

A GitHub account

Who should attend:

Anyone interested in building custom chatbots with LLMs and best MLOps practices should attend. This workshop is designed to be approachable for most skill levels. Familiarity with machine learning and Python is strongly encouraged but not required.

By the end of this workshop, you'll be able to build a custom chatbot using LLMs, RAG, and scalable AI workflows for large language models (LLMs).

About the Speaker:

Niels is a machine learning engineer and core maintainer of Flyte, an open source ML orchestration tool and author and maintainer of Pandera, a data testing tool for dataframes. He has a Masters in Public Health with a specialization in sociomedical science and public health informatics, and prior to that a background in developmental biology and immunology. His research interests include reinforcement learning, AutoML, creative machine learning, and fairness, accountability, and transparency in automated systems. He enjoys developing open source tools to make data science and machine learning practitioners more productive.


Union is an AI platform powered by Flyte that simplifies ML infrastructure so you can develop, deploy, and innovate faster.

Write your code in Python, collaborate across departments, and enjoy full reproducibility and auditability. Union lets you focus on what matters.