Turbopuffer

“We went from generating insights in 3 minutes to less than 10 seconds, with much better recall.”

“turbopuffer's hybrid and attribute filtering search primitives let us model agent memory far more effectively than with embeddings alone.”

“The biggest benefit of turbopuffer is the peace of mind that we won't fall over as we scale.”

“Fundamentally, this is an architecture we love. It scales out easily, it isolates customer data by default, and performance is very predictable.”

“turbopuffer gives us the foundation to build profitable AI. We believe in the architecture and we believe in the team.”

“Fuel iX doesn’t exist without turbopuffer. If we used a traditional vector db provider, our bill would be in the millions each year.”

“With turbopuffer, there’s no scaling wall. It’s infinite.”

“turbopuffer is uniquely enabling us. In the past it wouldn't be worth spending the money to iteratively improve our feature or add a new data source. With turbopuffer it costs comparatively nothing.”

“turbopuffer is very well-loved at Pylon. I can't think of anybody who has worked with turbopuffer who has not had a really top tier experience.”

“We have a shared Slack channel with the turbopuffer team. Every message is replied within minutes. Every feature request is always answered. It feels like these guys work at Notion.”

“turbopuffer's economics have changed the way we think about building products that connect data to LLMs.”

“The biggest win for us with turbopuffer was flat p95 and p99. In general, tpuf has just been a lot more reliable than the Postgres solution.”

“We love working with turbopuffer. I've never felt sold to and I've always felt I know exactly what I'm buying. Which when you're buying critical infrastructure is absolutely crucial.”

“It's been fun to work with @turbopuffer on this. Admittedly, keyword-based search never really worked great for issues, and the results from embedding+FTS are now actually useful. We'll also use this new infrastructure to power more of Linear's AI functionality”

“Their responsiveness and shipping velocity make us feel like we are their only customer.”

“We still have very skewed namespace sizes, but even on the largest matters we just don't observe the tail latency spikes on turbopuffer.”

“turbopuffer was the only search database where we could get the combination of high security, high recall, and low latency.”

“fal already operates at a huge scale. We chose turbopuffer because they serve many companies not only at our current scale, but where we plan to be in the future.”

“Before turbopuffer, it was basically impossible to search media generations. Now a user or their agent can type a query or upload an image and very quickly find the reference image they need.”