Mastering Production RAG with Google ADK and Arize AX for Enterprise Knowledge Systems
Blog post from Arize
Retrieval Augmented Generation (RAG) has emerged as a pivotal component in enterprise AI, yet deploying reliable RAG systems in production poses significant challenges due to the complexities of orchestration, evaluation, and continuous monitoring. Google's Agent Development Kit (ADK) and Arize AX offer robust solutions for overcoming these challenges by providing intelligent RAG orchestration and specialized observability, respectively. ADK facilitates sophisticated retrieval workflows and adaptive reasoning, while Arize AX offers comprehensive observability and evaluation metrics tailored for RAG, addressing issues such as hallucination detection and retrieval quality. This integration enables enterprises to build scalable, trustworthy RAG systems that enhance decision-making through accurate and well-supported responses. By combining ADK's orchestration capabilities with Arize's monitoring and evaluation tools, organizations can transition from experimental RAG implementations to reliable enterprise systems, thereby improving user confidence, operational efficiency, and scalability.