From Planning to Production-Ready RAG with OPEA

Learn to deploy production-ready retrieval-augmented generation (RAG) applications using the Open Platform for Enterprise AI (OPEA) framework in this comprehensive hands-on tutorial. Discover how OPEA, a Linux Foundation project, addresses enterprise challenges in integrating fragmented generative AI technologies through its orchestration framework that composes microservices via customizable blueprints. Explore the microservices architecture that enables OPEA to orchestrate AI workloads effectively while building a fully functional RAG chatbot from planning through production deployment. Master advanced techniques including enhancing vector search capabilities with knowledge graphs, customizing OPEA components to meet specific requirements, and scaling AI solutions efficiently on Kubernetes infrastructure. Gain practical experience integrating AI agents for intelligent automation and learn to overcome common challenges such as LLM hallucinations in domain-specific contexts like Kubernetes-related queries. Develop the skills needed to accelerate GenAI adoption in enterprise environments through hands-on deployment exercises and real-world application scenarios.