A series of demos to illustrate my talk "MCP: using Java and Quarkus to bridge LLMs with your applications and data"
The repository employs a modular design, separating concerns through distinct demo folders. It leverages LangChain4j's AI Services and Tool interfaces to abstract LLM interactions. The architecture promotes reusability by showcasing different methods of tool integration, from manual execution to automated AI service calls.
Java
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