The text discusses the importance of Large Language Model (LLM) observability in deploying production-ready AI agent applications. It highlights the benefits of using Couchbase and Arize AI to build robust, scalable, and observable GenAI applications. The partnership between Couchbase and Arize enables enterprises to construct sophisticated agent applications by leveraging high-performance vector storage and strong observability capabilities. The text also provides a step-by-step guide on building an Agentic RAG QA chatbot using LangGraph, Couchbase as the vector store, and Agent Catalog to manage AI agents. It showcases how to experiment with retrieval settings, benchmark performance, and evaluate experiments in Arize UI. The integration of Couchbase and Arize empowers enterprises to confidently deploy reliable and scalable GenAI applications.