Enterprise Java
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Build a Web Research AI Agent with Lanchain4j and Ollama
Running large language models locally using tools like Ollama fundamentally changes how we build AI applications. It enables fast experimentation,…
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Building a Document Q&A RAG AI Assistant with LangChain4j
Large Language Models have transformed how applications interact with users, but they come with a major limitation: they do not…
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Spring AI Agent Skills Example
Large Language Models (LLMs) excel at reasoning, generating natural language, and answering complex questions, but enterprise AI applications require capabilities…
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Spring Dynamic Authorization Scopes Example
Modern enterprise applications often require fine-grained access control where different users, clients, and business scenarios need different levels of permissions.…
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From LLMs to LangChain: Building practical AI Applications
Software development is entering a new phase driven by Large Language Models (LLMs). These models allow developers to move beyond…
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Feature Flags in Java: The Missing Piece That Makes Trunk-Based Development Work
A practical look at implementing release, ops, and experiment flags with Togglz and Unleash on Spring Boot 4 and the…
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Deploy Spring Boot with MySQL on Amazon EKS
Amazon Elastic Kubernetes Service (Amazon EKS) is one of the most popular managed Kubernetes platforms for running containerized applications in…
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Dynamic Tool Discovery with Spring AI
As AI applications evolve from simple question-answering systems to enterprise-grade intelligent assistants, the ability to efficiently manage and integrate external…
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Kafka CommitFailedException: Causes and Prevention
Apache Kafka provides reliable message consumption by allowing consumers to periodically commit their offsets. Offset commits inform Kafka that a…
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