Earlier this week, Ollama introduced an exciting new feature: tool support for Large Language Models (LLMs). Today, we're thrilled to announce that Spring AI (1.0.0-SNAPSHOT) has fully embraced this powerful feature, bringing Ollama's function calling capabilities to the Spring ecosystem. Ollama's tool support allows models to make decisions about when to call external functions and how to use the returned data. This opens up a world of possibilities, from accessing real-time information to performing complex calculations. Spring AI takes this concept and integrates it seamlessly with the Spring ecosystem, making it incredibly easy for Java developers to leverage this functionality in their applications. Key Features of Spring AI's Ollama Function Calling Support includes: Easy Integration: Register your Java functions as Spring beans and use them with Ollama models. Flexible Configuration: Multiple ways to register and configure functions. Automatic JSON Schema Generation: Spring AI handles the conversion of your Java methods into JSON schemas that Ollama can understand. Support for Multiple Functions: Register and use multiple functions in a single chat session. Runtime Function Selection: Dynamically choose which functions to enable for each prompt. Code Portability: Reuse your application code without changes with different LLM providers such as OpenAI, Mistral, VertexAI, Anthropic, Groq without code changes. How It Works Define custom Java functions and register…Read More