Do you need a specialized vector database to implement vector search well?
Semantic search and augmenting LLMs have sent everyone turning their text into vectors. But where do you store all that vector data?



Semantic search and augmenting LLMs have sent everyone turning their text into vectors. But where do you store all that vector data?
The cost bottleneck is your mind!
On this sponsored episode of the podcast, we talk with Stanimira Vlaeva, Developer Advocate at MongoDB, and Fredric Favelin, Technical Director, Partner Presales at MongoDB, about how a serverless database can minimize the distance between producing data and understanding it.
The benefits that come from serverless computing can be lost if you have to spend your time provisioning hardware for your database.
The team talks about voice-to-code features, how game developers built accessibility into God of War, and why lab-grown meat is officially safe to eat (hail seitan!).
A new platform promises to make building a robot as easy as crafting a smartphone app.
A small group of four people wrote the code that kicked off what is now a massive business. Hear the story from CTO Eliot Horowitz.