CNCF-hosted Co-located Events North America 2024

Langchain has become one of the most popular frameworks for anyone building custom, generative AI-driven apps powered by LLMs, that leverage RAG (Retrieval-Augmented Generation) for the most enhanced results.  But like all data products, these applications are really only as good as the organizational data fed into them––and we’ve all learned the hard way that the data is oftentimes far from perfect. In this hands-on tutorial you’ll learn how to build a reproducible AI application pipeline with Kubeflow, Langchain and Delta Lake, widely adopted OSS tools in the ML & GenAI stack.  By learning how to build a RAG chatbot, while iteratively tuning it for best results leveraging Delta Lake’s temporal versions, you’ll come away with improved methods for data reproducibility for your custom AI apps, that provide better data quality, alongside an improved user experience for your application users.