Media Summary: In this episode of Barrchives, Barr Yaron sits down with Simon Eskildsen, co-founder and CEO of For memberships: join this channel as a member here: In this episode, Aaron Francis talks with Simon Eskildsen, co-founder and CEO of

Turbopuffer Object Storage Native Database - Detailed Analysis & Overview

In this episode of Barrchives, Barr Yaron sits down with Simon Eskildsen, co-founder and CEO of For memberships: join this channel as a member here: In this episode, Aaron Francis talks with Simon Eskildsen, co-founder and CEO of Vector search at scale remains a critical challenge for modern AI applications. What if the solution isn't just about the search ... Become a senior software engineer with a job guarantee: Why is Fill out this short listener survey to help us improve the show: In this episode, Simon ...

Download 1M+ code from okay, let's dive deep into the world of vector search In this video, we explore the key differences between File Storage and From spending nearly a decade scaling Shopify's infrastructure to doing “angel engineering” for companies like Readwise and ...

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turbopuffer: Object Storage-native Database for Search (Simon Eskildsen)
How to Build 10x Cheaper Object Storage, with Simon Eskildsen, CEO at Turbopuffer
How do vector (search) databases work? ft: turbopuffer
Faster vector search with Turbopuffer CEO, Simon Eskildsen
Object Storage Is All You Need - Justin Cormack, Docker
Billion Scale Vector Storage for RAG
Object Storage (BLOBs) Explained for System Design
How Notion Cut Millions from Their Vector DB Bill Without Sacrificing Search Quality
The Infrastructure Company Powering the Top AI Apps
How do vector search databases work ft turbopuffer
File Storage VS Object Storage | System Design
Vector Databases simply explained! (Embeddings & Indexes)
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turbopuffer: Object Storage-native Database for Search (Simon Eskildsen)

turbopuffer: Object Storage-native Database for Search (Simon Eskildsen)

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How to Build 10x Cheaper Object Storage, with Simon Eskildsen, CEO at Turbopuffer

How to Build 10x Cheaper Object Storage, with Simon Eskildsen, CEO at Turbopuffer

In this episode of Barrchives, Barr Yaron sits down with Simon Eskildsen, co-founder and CEO of

How do vector (search) databases work? ft: turbopuffer

How do vector (search) databases work? ft: turbopuffer

For memberships: join this channel as a member here: https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/join ...

Faster vector search with Turbopuffer CEO, Simon Eskildsen

Faster vector search with Turbopuffer CEO, Simon Eskildsen

In this episode, Aaron Francis talks with Simon Eskildsen, co-founder and CEO of

Object Storage Is All You Need - Justin Cormack, Docker

Object Storage Is All You Need - Justin Cormack, Docker

Object Storage

Billion Scale Vector Storage for RAG

Billion Scale Vector Storage for RAG

Vector search at scale remains a critical challenge for modern AI applications. What if the solution isn't just about the search ...

Object Storage (BLOBs) Explained for System Design

Object Storage (BLOBs) Explained for System Design

Become a senior software engineer with a job guarantee: https://go.hayksimonyan.com/pre-100 Why is

How Notion Cut Millions from Their Vector DB Bill Without Sacrificing Search Quality

How Notion Cut Millions from Their Vector DB Bill Without Sacrificing Search Quality

2025 - Day 1 -

The Infrastructure Company Powering the Top AI Apps

The Infrastructure Company Powering the Top AI Apps

Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8 In this episode, Simon ...

How do vector search databases work ft turbopuffer

How do vector search databases work ft turbopuffer

Download 1M+ code from https://codegive.com/d2d14f9 okay, let's dive deep into the world of vector search

File Storage VS Object Storage | System Design

File Storage VS Object Storage | System Design

https://systemdesignschool.io/ In this video, we explore the key differences between File Storage and

Vector Databases simply explained! (Embeddings & Indexes)

Vector Databases simply explained! (Embeddings & Indexes)

Vector

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer

From spending nearly a decade scaling Shopify's infrastructure to doing “angel engineering” for companies like Readwise and ...