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Learn to build and maintain production-grade agentic RAG applications using Union.ai's platform in this comprehensive workshop. Discover the essential infrastructure requirements and operational challenges that arise when scaling RAG applications beyond proof-of-concept stage, including heterogeneous compute management, vector store integration, evaluation dataset bootstrapping, and LLM model hosting. Build a chat assistant from scratch while exploring the systematic approaches needed to iterate and improve RAG performance in production environments. Master core LLMOps concepts and software engineering best practices specifically designed for maintaining AI applications that require constant iteration and performance optimization. Gain practical experience with Union.ai's workflow orchestration capabilities and understand how to address the complex operational requirements that distinguish production RAG systems from traditional ML deployments.
