Study how one can develop an utility to look emails utilizing RAG
On this article, I’ll present you how one can develop the MailDiscoverer utility to look Gmail emails utilizing RAG. First, I’ll present you find out how to arrange the authentication pipeline to entry person’s emails (if consent is given). The emails are then embedded utilizing an OpenAI textual content embedder and saved in a Pinecone vector database. This enables a person to ask questions concerning the emails, and the RAG system will retrieve probably the most related emails and supply a solution to the query.
The appliance developed on this article could be discovered on Streamlit. My GitHub repository for this code can be obtainable.
The video under showcases how the appliance works. After logging in and importing your emails, you’ll be able to ask a query about them, and the appliance will present a solution and showcase probably the most related emails used to supply the reply.