From Planning to Production-Ready RAG

Learn to build production-ready Retrieval-Augmented Generation (RAG) systems in this technical workshop led by industry experts from Intel and Neo4j. Discover how to overcome the challenges enterprises face when integrating fragmented generative AI technologies and address the hallucination issues that affect even top-tier large language models when handling domain-specific queries like Kubernetes-related questions. Explore the complete journey from initial planning through deployment, gaining practical insights into creating robust RAG implementations that can reliably serve enterprise needs in production environments.