LangChain4j examples

This folder contains Java examples demonstrating application development using LangChain4j.

Every example builds an AI service, which is a Java interface whose annotations carry the instructions and whose return type declares the expected output. The differences between the examples are the context sources wired into that service.

Requirements

• Java 21+
• Maven 3.9+
• Ollama installed locally for running model examples

Examples

• basic_assistant/: Single prompt-response with a local model.
• chat_memory/: Bounded message window carried across turns.
• rag_retrieval/: In-memory retrieval-augmented generation.
• tool_use/: Local math solver tool integration.
• structured_output/: Generating and parsing response objects to Java records.
• context_assembly/: Instructions, memory, retrieval, and tools in one AI service.

Running the examples

Each example is in its own folder and contains a README.md with instructions on how to run it.