In this episode of the Spring Office Hours podcast, the hosts explore Ollama, a tool that enables you to run large language models (LLMs) locally, and how it works seamlessly with Spring AI. They discuss the advantages of Ollama, highlighting its security and cost-effectiveness compared to cloud-based LLMs. The episode includes a demonstration on running models locally and using a user-friendly interface, which allows you to incorporate local documents for added context. Additionally, they showcase how Spring AI simplifies the integration of LLMs from different providers, making it easy to switch between models and utilize features like function calling for real-time data access.
