The company behind the AI-powered search engine migrated its serving layer to CobbleDB, an internal database written in Rust, and cut batch read latency by up to 5x while saving at least 20% on storage.
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Five successive changes to the in-memory data representation, from Vec to a wire-format byte buffer, reduced the size of each cache entry by 56% and freed up about 100 TB of RAM across Cloudflare's DNS resolver fleet.
OpenAI and Anthropic published technical reports on September 21 with data on the behavior of the new models.
Convex's official component bundles threads, persistent memory, and hybrid vector/text search for those building AI agents, without setting up a parallel vector DB stack.
