ZenBox: AI Email Client with Semantic Search and RAG

Today email management is extremely inconsistent and creates inefficiency, errors, and ineffective collaboration. There are also the hassle of multi-account inbox, slow keyword search, manual drafting, and manual interest and subscription management. ZenBox is a solution to these issues because it allows a unified platform to consolidate numerous accounts into one with a full-fledged AI email client with the help of the Oringo API. It provides semantic searching in less than one second time with Orama vector representations. ZenBox also generates context-informed draft and summaries based on Retrieval-Augmented Generation (RAG). It is built upon Next.js and Node.js and postgreSQL. In particular, ZenBox is applicable to real-time webhook synchronisation. This paper demonstrates viable applications of RAG in email automation. It eliminates the thinking load without losing the ability to convey and transmit complex ideas i.e. subtlety in communication, through safe authentication through Clerks.