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Organisations often want an AI assistant to provide responses based solely on their own internal documents or data rather than on general information used for training the model or from a search of the public web.
To do this, notebookers use an “Notebook” agent. They gather content on a topic of project in a notebook. The content can be documents or links. The AI assistant uses the content in the notebook to generate its responses. We can be sure that the responses are grounded in the content. Notebooks use a technique known as Retrieval Augmented Generation (RAG) is used.
For this exercise use one of the follow notebooks:
Launch a notebook. Import a set of related documents into the notebook. Then ask questions based on the content of the notebook.
Notebooks have some special features; the ability to create a study guide, FAQ, or even a podcast - try these out
Here is some sample content, the novels of Jane Austen. Feel free to use this or any content of your choice.
Note: Project Gutenberg makes classic novels available free of charge.