Economical way of serving vector search workloads with Simon Eskildsen, CEO Turbopuffer

Turbopuffer search engine supports such products as Cursor, Notion, Linear, Superhuman and Readwise.

Craft decaf & half caf coffee, 25% discount: https://savorista.com/discount/VECTOR

This episode on YouTube: https://youtu.be/I8Ztqajighg

Medium: https://dmitry-kan.medium.com/vector-podcast-simon-eskildsen-turbopuffer-69e456da8df3

Dev: https://dev.to/vectorpodcast/vector-podcast-simon-eskildsen-turbopuffer-cfa

If you are on Lucene / OpenSearch stack, you can go managed by signing up here: https://console.aiven.io/signup?utm_source=youtube&utm_medium=&&utm_content=vectorpodcast

Time codes:

00:00 Intro

00:15 Napkin Problem 4: Throughput of Redis

01:35 Episode intro

02:45 Simon's background, including implementation of Turbopuffer

09:23 How Cursor became an early client