Choosing a Java LLM Integration Strategy in 2026: Spring AI 1.1 vs LangChain4j vs Direct API Calls

Three genuinely different architectural postures — and a practical framework to help your team choose the right one before you…

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Getting Started with the Java Model Context Protocol (MCP) SDK

The rapid growth of AI-powered applications has created a need for standardized ways to connect models with external tools, services,…

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Spring AI Integration: Building Intelligent Java Applications

The AI revolution isn’t just for Python developers anymore. With Spring AI quickly becoming the starting point when Java developers…

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Integrating a Java Backend with AI/LLM Services: Best Practices, Latency & Safety

The integration of large language models into enterprise Java applications has moved from experimental to essential. Organizations running Java backends…

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Building an AI Agent in Java with the Embabel Framework

Artificial Intelligence (AI) is steadily moving from research labs into production systems, and developers are seeking frameworks that facilitate easier…

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Java Langchain MongoDB Example

This article explores how to build an AI-powered chatbot using Langchain4j, MongoDB Atlas, and Ollama running locally. This solution leverages…

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