Turbopuffer with Simon Hørup Eskildsen

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 The post Turbopuffer with Simon Hørup Eskildsen appeared first on Software Engineering Daily .