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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 and operational requirements needed to transition RAG applications from proof-of-concept to production, including managing heterogeneous compute resources, vector stores, evaluation dataset bootstrapping, and LLM model hosting. Build a practical chat assistant while exploring the complexities that distinguish AI applications from traditional ML deployments. Master core concepts and techniques for systematically improving RAG applications through constant iteration and performance optimization. Gain hands-on experience with best software engineering practices specifically tailored for LLMOps, focusing on the unique challenges of maintaining and scaling retrieval-augmented generation systems in production environments.
