NEW: Instant namespace branching
turbopuffer
x
Pragmatic
Engineer

turbopuffer xPragmatic Engineer

search every byte with turbopuffer

vector and full-text search built on object storage: fast, cheap, and extremely scalable

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About turbopuffer

turbopuffer is the search engine to connect large amounts of unstructured data to AI. Built from first principles on object storage with an intelligent cache layer, turbopuffer is just as fast as in-memory search engines but orders of magnitude cheaper to run.

We index 4T+ documents for leading AI companies:

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Workload1024 dimensions, 10M docs, ~40GB
p50
14ms
874ms
p90
17ms
1214ms
p99
27ms
1686ms
Warm namespace
Cold namespace

Approach (8 QPS with topk=10)

turbopuffer/tpuf-benchmark

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After switching our vector db to @turbopuffer, we're saving an order of magnitude in costs and dealing with far less complexity!
Photo of Aman Sanger

Aman Sanger

Co-founder

Case study
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turbopuffer's economics have changed the way we think about building products that connect data to users and LLMs.
Photo of Akshay Kothari

Akshay Kothari

Co-founder

Case study
“
It's been fun to work with @turbopuffer on [the new search]. Admittedly keyword based search never really worked great for issues, and the results from embedding+FTS are now actually useful.
Photo of Jori Lallo

Jori Lallo

Co-founder

Case study