How to Create a Powerful AI Email Search for Gmail with RAG

Learn how you can develop an application to search emails using RAG

The motivation behind this article is to show you how to create a powerful AI email search for Gmail using RAG (Retriever-Augmented Generator). This application will allow you to search your emails in a natural and efficient way.

With this application, you can easily find the emails you are looking for, even if you don’t remember the exact subject or sender. You can also ask questions about your emails, and the application will provide an answer and showcase the most relevant emails used to provide the answer.

To create this application, we will use the following technologies:

Streamlit: An open-source app framework for building data science and machine learning applications.

Google Auth: A library for authenticating users with Google.

RAG: A state-of-the-art natural language processing model for retrieving and generating text.

Pinecone: A scalable and performant vector database.

Let’s get started!