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Langchain4j
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
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01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
To experiment with different LLMs or embedding stores, you can easily switch between them without the need to rewrite your code.
Our toolbox includes tools ranging from low-level prompt templating, chat memory management, and function calling
to high-level patterns like Agents and RAG.
Documentation can be found here.
The documentation chatbot (experimental) can be found here.
"label": "Browser Execution Engines",
"description": "Browser Execution Engines"
BrowserExecutionEngine represents a browser execution engine that can be used to perform actions on the browser in response to a user action.
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-13T08:17:27Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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