About the Author¶
Jemin Huh¶
Jemin Huh is an AI platform engineer who built cloud and data analytics platforms at Samsung SDS, and built and operated large-scale monitoring, A/B testing, and chatbot platforms at SK planet. Jemin has contributed to the Spring AI open source project, mainly to its vector store modules, and is the creator and lead maintainer of Spring AI Playground, an incubating project of the Spring AI Community. Today, Jemin focuses on designing and building enterprise AI agent systems based on Spring AI, teaching Spring AI, and technical writing.
Growing with Spring AI¶
In 2023, the year the Spring AI project began, Jemin started contributing by implementing a client that processes LLM responses as a stream. Since then, Jemin's contributions have centered on the vector store modules, including adding the Elasticsearch and OpenSearch vector stores and implementing metadata filters for SimpleVectorStore. Along the way, Jemin has been part of Spring AI as it grew through 1.0 into 2.0.
While building and operating a range of platforms in enterprise environments, Jemin worked on a monitoring platform that processes billions of log entries a day from thousands of servers and an AI platform that provides chatbot services to multiple companies. The conclusion drawn from that experience is the starting point of the book. In enterprise environments, the hard problem was not so much calling an LLM as integrating it safely with enterprise systems, managing permissions and security, and making it traceable and operable.
An AI agent is not a single model. It is a system that connects LLMs, data, tools, workflows, human judgment, and operations.
From the book's preface