This article explores the use of Google's NotebookLM (NLM) as a tool for research, particularly in analyzing the impact of the Aswan High Dam on schistosomiasis in Egypt. The author details how NLM can be used to create a research assistant-like experience, allowing users to 'have a conversation' with uploaded content to gain insights and answers from the material.
The article discusses RIG, a technique that enhances AI's ability to provide more accurate and up-to-date responses by integrating LLMs with Data Commons, an open-source database of public data. It compares RIG with RAG and highlights its benefits and potential drawbacks.
