apps/blog/content/blog/why-sitegpt-chose-prisma-postgres-for-scalable-ai-powered-chatbots/index.mdx
SiteGPT helps businesses create AI-powered chatbots trained on their own content, websites, documentation, or internal data. These chatbots act as the first line of support for customers, handling requests with contextual accuracy.
Behind the scenes, SiteGPT is ingesting and processing massive volumes of data daily and it all runs on Prisma Postgres.
<Quotes speakerName="Bhanu Teja, Founder"> “Once I started using Prisma Postgres, everything just worked. It was smooth, and it felt closer to what I wanted than anything else I tested.” </Quotes>
Here’s how Prisma Postgres delivered the performance, simplicity, and developer experience SiteGPT needed to scale confidently.
Tired of unexpected downtimes and feature shutdowns, when SiteGPT began searching for a new database platform, Bhanu faced common challenges: unpredictable costs, provisioning complexity, and unwanted DevOps responsibilities.
<Quotes speakerName="Bhanu"> “With most databases, I had to make decisions I didn’t want to deal with. What size? How many read replicas? What happens at scale? I don’t want to manage that.” </Quotes>
Prisma Postgres solved these issues for Bhanu's team by removing manual capacity planning, cutting DevOps overhead, and offering usage-based pricing that scales with demand, not guesswork.
<Quotes speakerName="Bhanu"> “One thing I really like about Prisma Postgres is the pricing model. I just query what I need, and I pay for what I use.” </Quotes>
Instead of managing infrastructure or pre-selecting plans, SiteGPT pays based on operations, a model that aligns naturally with how AI platforms scale.
The team has strong backend experience but zero interest in managing infrastructure.
Prisma Postgres abstracts away those headaches, letting builders focus on features, not fire drills.
Having used Prisma ORM previously, the decision to adopt Prisma Postgres was a no-brainer.
This tight integration means fewer moving parts, better DX, and faster development cycles.
When FaunaDB announced it was sunsetting its product, SiteGPT needed a reliable alternative. Prisma’s CEO, Søren, reached out directly and offered help migrating to Prisma Postgres, giving the team the confidence to make the switch.
<Quotes speakerName="Bhanu"> “Søren from the Prisma team messaged me directly and said, ‘We’ll help with the entire migration.’ That gave me the confidence to switch.” </Quotes>
Prisma’s team ensured the database was ready for production workloads, and helped make the migration from their previous setup fast and low-risk.
SiteGPT’s growth has been impressive with customers syncing massive content libraries and AI models generating and updating vectors at scale.
<Quotes speakerName="Bhanu"> “We have e-commerce customers with 30,000+ pages. We process all of that, generate embeddings, and store the data. That’s why we generate over 8 million queries a day.” </Quotes>
Prisma Postgres powers this workflow without slowdown, and SiteGPT plans to explore more Prisma features like built-in caching and Prisma Optimize as they continue to scale.
Prisma Postgres gave SiteGPT a fast, reliable, and developer-friendly database platform with a usage-based business model that made sense from day one.
<Quotes speakerName="Bhanu"> “The biggest thing for me was not having to make hard infrastructure choices. Prisma just lets me build.” </Quotes>
Want to build fast, serverless apps at scale?
Check out Prisma Postgres and simplify your backend.