Talk to Your Data Using Natural Language: A Guide to Interacting with Couchbase via Ollama4j
Sometime back, I created a small wrapper called Ollama4j to interact with the Ollama server over the REST API in Java as a side project and made the repository public on GitHub. Over time, the project gained traction, with many fellow Java developers contributing, and it now boasts over 300 stars! 😍
We’ve consistently introduced new features, and when we added the tool-calling capability, the library became incredibly powerful, opening up so many possibilities. With this addition, we could automate numerous tasks using natural language! I wanted to share how to make the most of this functionality.
In this article, we’ll explore how to use Ollama4j, a Java SDK for interacting with Ollama-hosted models, to leverage tool-calling models like Mistral for querying a Couchbase database. The goal is to create a system where you can query your database using natural, conversational language — just like interacting with a virtual assistant. We’ll walk you through the code, explain the key components, and show you how to set up your environment to ensure everything runs smoothly.