The use case: how fal deploys turbopuffer
fal uses turbopuffer to power search in fal Assets, letting users and their agents find previously generated images, videos, and 3D models. It runs filtered hybrid search (full-text and vector) with a separate namespace per tenant.
More reported results
Figures published in turbopuffer’s case study. They are not independently measured by usedby.
225K+ isolated search namespaces
17ms p50 filtered hybrid search
99.5% average recall@10
In the customer’s words
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.Other AI tools used by fal
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turbopuffer users in Artificial Intelligence
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Go straight to the source
Based on turbopuffer’s published case study. We check the public evidence; the results are reported by the vendor.
turbopuffer.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 300M+Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of fal.
- The numbers in our summaryChecked
Each one is printed on the page.
- fal uses turbopufferChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
fal shipped search in Assets so users and their agents can find and reference previously generated media assets. turbopuffer runs filtered hybrid search over 300M+ videos, images, and 3D models at millisecond latency.