TLDR Tech / Data
Building the AI Retrieval Infrastructure Behind 20 Billion+ Vectors at HubSpot
HubSpot scaled its Vector-as-a-Service platform from an early Qdrant proof of concept into a production semantic-search layer with 20B+ vectors, 200+ indexes, 140+ clusters, and usage across 38+ teams. To make that manageable, it moved from manual Helm-based operations to Kubernetes operators that automate cluster creation, scaling, shard balancing, and replication recovery, cutting spin-up from hours to minutes and reducing operational load.
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