Turbopuffer with Simon Hørup Eskildsen

Most AI agent setups today are built around a single session, where one user interacts with one agent at a time. However, that model breaks down when an agent has to serve a business, where thousands of requests can arrive at once and each session needs to be isolated, durable, a ...  Show more

Historically, databases were responsible for storing data and returning exact results in response to queries. However, AI is now bending that contract in a new direction. Applications increasingly expect structured and unstructured data to come together. This is pushing databases ...  Show more

Let's delve into the emerging trend in database design – or is it really a new trend? The realm of vector databases and their revolutionary influence on AI and ML is making headlines. Come along as we investigate how these groundbreaking databases are revolutionizing the l ...

Jeff Huber (@jeffreyhuber, Founder/CEO @trychroma) talks vector databases, data integration, RAG, Embedded models, and AI integration.

SHOW: 771

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

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Edo Liberty (@edoliberty, Founder/CEO @Pinecone) talks about vector databases and building applications that leverage data in new and unique ways. 

SHOW: 673

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

CH ...

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Machine learning models use vectors as the natural mechanism for representing their internal state. The problem is that in order for the models to integrate with external systems their internal state has to be translated ...