Improve ROSA customer experience (and customer retention) by leveraging foundation models to do “gpt-chat” style search of Red Hat customer documentation assets.
The app has a gradio front end deployment through which it can be accessed. Also, more components can be added to the basic structure that this app provides.
This PR adds v1 backend application with document retrieval and answer generation. Readme has instructions on setting it up and running it.
The vector database used is disk persisted Qdrant client and it can be substituted by the Qdrant deployment on kubernetes.
The app has a gradio front end deployment through which it can be accessed. Also, more components can be added to the basic structure that this app provides.