Qubinets is a powerful platform designed to simplify and accelerate the deployment of cloud data infrastructure. By leveraging open-source tools and offering practical features, Qubinets ensures users can build, observe, and manage their data environments with ease. The platform is flexible, allowing deployment on various clouds or on-premises, all with no lock-in, providing an intuitive user experience and a suite of tools for CI/CD methodologies.

Local LLM with Function Calling allows developers to create AI agents that run entirely on local hardware, eliminating data privacy concerns and cloud dependencies. The framework includes sample code for integrating local LLMs such as LLaMA, GPT4All, or other open-weight models, and demonstrates how to configure function schemas that the model can invoke to perform tasks like fetching data, executing shell commands, or interacting with APIs. Users can extend the design by defining custom function endpoints, customizing prompts, and handling function responses. This lightweight solution simplifies the process of building offline AI assistants, chatbots, and automation tools for a wide range of applications.