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Turbopuffer with Simon Hørup Eskildsen
Manage episode 509242317 series 1418208
Vector search has become a foundational technology for AI applications, enabling everything from semantic code search to contextual retrieval for large language models. However, a major challenge with vector databases has been the cost as data storage scales.
Turbopuffer is a vector database that focuses on speed, cost and scalability. It was created by Simon Hørup Eskildsen and Justin Li in 2023 and has seen adoption from high-profile companies such as Cursor and Notion.
Simon joins the podcast with Gregor Vand to discuss the origin of turbopuffer, its unique technical design, the economics of vector storage, and more.
Please click here to see the transcript of this episode.
Sponsorship inquiries: [email protected]
The post Turbopuffer with Simon Hørup Eskildsen appeared first on Software Engineering Daily.
871 episodes
Manage episode 509242317 series 1418208
Vector search has become a foundational technology for AI applications, enabling everything from semantic code search to contextual retrieval for large language models. However, a major challenge with vector databases has been the cost as data storage scales.
Turbopuffer is a vector database that focuses on speed, cost and scalability. It was created by Simon Hørup Eskildsen and Justin Li in 2023 and has seen adoption from high-profile companies such as Cursor and Notion.
Simon joins the podcast with Gregor Vand to discuss the origin of turbopuffer, its unique technical design, the economics of vector storage, and more.
Please click here to see the transcript of this episode.
Sponsorship inquiries: [email protected]
The post Turbopuffer with Simon Hørup Eskildsen appeared first on Software Engineering Daily.
871 episodes
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