langchain4j

LangChain4j addresses the challenge of integrating large language models (LLMs) into Java applications, providing a unified API that simplifies access to popular LLMs and vector databases. This is particularly beneficial for ML/AI teams looking to implement retrieval-augmented generation (RAG), tool calling, and agent functionality without extensive boilerplate code. With over 10,000 stars, it demonstrates a solid level of community support and maturity, making it a production-ready solution. However, teams that require highly specialised LLM capabilities or those working in non-Java environments may find it less suitable.

LangChain4j is a strong choice when teams need a robust, open source tool for engineering teams that leverages Java for LLM integration. Consider alternatives if your project demands specific features not covered by this library or if your tech stack is predominantly non-Java.

This library is primarily used by machine learning engineers, AI developers, and tech leads focused on building applications that utilise LLMs. It is commonly integrated into enterprise-level applications, chatbots, and data processing systems that require advanced language understanding capabilities.

Latest commit: 2026-02-12. Over the past 96 days, this repository gained 1.2k stars (+12.4% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.