Customizable RAG Workflows with your Own Data 

Speaker: Christy Bergman, Developer Advocate, Zilliz
You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general internet data used to train most foundation models. Join me for a demo on building a customizable RAG (Retrieval Augmented Generation) stack using OSS HuggingFace, Milvus vector database, LangChain, and optional Zilliz cloud and OpenAI. Learn best practices and advanced techniques to optimize GenAI workflows with your own data.