Learn to build a reproducible AI application pipeline through a hands-on tutorial focused on integrating Kubeflow, Langchain, and lakeFS open-source tools. Explore the development of a RAG (Retrieval-Augmented Generation) chatbot while mastering iterative tuning techniques using lakeFS's temporal versioning capabilities. Discover how Langchain, as a leading framework for custom generative AI applications powered by LLMs, can be enhanced through proper data organization and quality control. Gain practical insights into improving data reproducibility methods for custom AI applications, ensuring better data quality and enhanced user experiences. Master the implementation of widely adopted tools in the ML & GenAI stack to create more reliable and efficient AI-driven applications.