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Tuesday November 12, 2024 3:20pm - 3:45pm MST
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 lakeFS, 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 lakeFS’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.
Speakers
avatar for Oz Katz

Oz Katz

Co-Creator, lakeFS Open Source, CTO & Co-Founder, Treeverse
Oz Katz is the CTO and Co-Creator of the open source lakeFS Project, an open source platform that delivers resilience and manageability to object-storage based data lakes. Oz engineered and maintained petabyte-scale data infrastructure at analytics giant SmilarWeb, which he joined... Read More →
Tuesday November 12, 2024 3:20pm - 3:45pm MST
Salt Palace | Level 1 | Grand Ballroom A

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