RAG Architecture on the JVM: Building a Production-Ready Pipeline With LangChain4j

A practical walkthrough of embedding models, vector stores, retrieval strategies, prompt engineering, and evaluation — without leaving the JVM. 1.…

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Building AI-Powered Applications with Spring AI and LangChain4j

1. Introduction: Java Enters the AI Arena For years, Python dominated AI development while Java—the backbone of enterprise systems—remained on…

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LangChain4j Quarkus MCP Example

The Model Context Protocol (MCP) is gaining traction as an essential bridge between Large Language Models (LLMs) and external tools.…

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LLM Apps in Java Using LangChain4j

LangChain4j is a powerful Java framework that simplifies the integration of large language models (LLMs) into Java applications. It provides…

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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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Using LangChain4j in Micronaut

LangChain4j is a Java library that simplifies working with LLMs, enabling us to create AI-driven applications with minimal complexity. By…

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Java Quarkus LangChain4j – Building a Chatbot

Quarkus is a modern Java framework designed for cloud-native applications, offering fast startup times and efficient resource usage. LangChain4j, inspired…

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Using LangChain4J for Structured JSON Output

LangChain4J is a powerful framework that enables the integration of language models into Java applications. In this article, we will…

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Getting Started with LangChain4j and Spring Boot

The LangChain4j framework is an open-source library designed to seamlessly integrate Language Learning Models (LLMs) into Java applications. Drawing inspiration…

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