InboxMemory AI - RAG your Emails - Postmark

This is a submission for the Postmark Challenge: Inbox Innovators. What I Built I have build a tool "InboxMemory AI". In short its think of it as ChatGPT for your emails. You can send emails to make it into searchable knowledge base and ask questions via email or from the app in natural language. Basically RAG from emails Demo Video Walthrough screenshots QA via Email QA via App Getting Started Just send "Hi [your name]" to the email ai@kbhelper.com. The AI picks up your name, creates your account, and you're ready to go ⚡ Behind the Scenes When you forward an email, we break it into chunks and store it in our vector database. If you send a question, our AI searches through everything you've saved and gives you an actual answer. You can also hop into the web app to browse your saved emails or ask questions with a proper interface. Code Repository GitHub Link ashiqsultan / inbox_memory_ai Inbox Memory AI build for Postmark hackathon | Using AI via email How I Built It Techstack FastAPI for the backend PostgreSQL for email storage LanceDB as our vector database Redis for OTPs and rate limiting React for the frontend Gemini handling the AI magic and embeddings Docker for deploymnet Along with the RAG system I ahve also build Auth system with email OTP because why not? since Postmark an email service anyways why not lets try that out. Gemini provides generous free tire which allowed me to use them. Wrote smaller AI Agent like files with specific system instructions for each task. Some challenges I faced I initially used Ngrok when testing in local but suprised to find no ngrok like services was mentioned in their docs. It will be a pain to initially debug without them Please try it Please try it out as of writing this I have 50 more free emails from Postmark gota use them all. If this sounds useful to you, an upvote would be great. Thanks.

May 28, 2025 - 19:40

InboxMemory AI - RAG your Emails - Postmark

This is a submission for the Postmark Challenge: Inbox Innovators.

What I Built

I have build a tool "InboxMemory AI". In short its think of it as ChatGPT for your emails. You can send emails to make it into searchable knowledge base and ask questions via email or from the app in natural language. Basically RAG from emails

Demo

Video Walthrough

screenshots

QA via Email

QA via App

Getting Started

Just send "Hi [your name]" to the email ai@kbhelper.com. The AI picks up your name, creates your account, and you're ready to go ⚡

Behind the Scenes

When you forward an email, we break it into chunks and store it in our vector database. If you send a question, our AI searches through everything you've saved and gives you an actual answer. You can also hop into the web app to browse your saved emails or ask questions with a proper interface.

Code Repository

GitHub Link

ashiqsultan / inbox_memory_ai

Inbox Memory AI build for Postmark hackathon | Using AI via email

How I Built It

Techstack

FastAPI for the backend
PostgreSQL for email storage
LanceDB as our vector database
Redis for OTPs and rate limiting
React for the frontend
Gemini handling the AI magic and embeddings
Docker for deploymnet

Along with the RAG system I ahve also build Auth system with email OTP because why not? since Postmark an email service anyways why not lets try that out. Gemini provides generous free tire which allowed me to use them. Wrote smaller AI Agent like files with specific system instructions for each task.

Some challenges I faced

I initially used Ngrok when testing in local but suprised to find no ngrok like services was mentioned in their docs. It will be a pain to initially debug without them

Please try it

Please try it out as of writing this I have 50 more free emails from Postmark gota use them all. If this sounds useful to you, an upvote would be great. Thanks.