Supabase Made My Enterprise ChatGPT App a Breeze
Supabase did so much heavy lifting that all I needed was a half decent frontend developer ❤️
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Introduction
ChatGPT is great but a lot of enterprises are wary of leaking confidential data or customer PII to OpenAI which plainly says that it reserves the right to use data shared with ChatGPT to further train and refine its models.
It is in this context that we are building an enterprise Chat interface to OpenAI’s GPT models.
However, developing such a chat application from scratch, ensuring security, seamless chat protocols, and handling other chat-specific implementation details can be a daunting task.
Thankfully, we have solutions like Supabase that have made the development process more straightforward and efficient.
In this blog post, we will delve into how I built an enterprise-ready chat application in just three weeks. This application is essentially a clone of ChatGPT, but tailored for enterprise users, leveraging the potential of Supabase’s backend and OpenAI’s models.
The Power of Supabase
The backbone of this application is Supabase, a backend solution that facilitates the creation of a two-tier app.
The real magic lies in Supabase’s Row Level Security feature, which, when implemented, allows the web client to communicate directly with Supabase to perform CRUD operations.
This has greatly simplified application development by essentially eliminating an entire tier from the familiar MVC architecture.
Moreover, Supabase’s realtime notifications API ensures that the app is always in sync with the backend.
Subscribing to database updates provides users with real-time communication experience without writing a single line of server side code.
Simplified On-boarding and Time To First Message
For our MVP, we are using Supabase’s magic link based authentication to quickly onboard a user.
This magic link based login flow is an elegant solution that ensures the security of the…
