Stability: Experimental
All classes are under active development and subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model.
While you can still use these classes, you may need to update your source code when upgrading to a newer version of this package.
Galileo Generative AI Reference Sample is a reference implementation of a deployable 3-tier retrieval augmented generative (RAG) application for developers seeking to experiment with, deploy, and launch GenAI powered products and services that use RAG.
Overview of Galileo Generative AI Reference Sample including benefits
How to install, configure and use Galileo Generative AI Reference Sample
Instructions on how to configuration and use various components
Conceptual overview and practical examples for each Galileo module
Guidelines for contributing to Galileo Generative AI Reference Sample project
Release notes for the Galileo Generative AI Reference Sample