Ryan ODonnellMaker
We keep embeddings right next to the rest of our data in MongoDB, with no separate vector database to run or sync. One less system to maintain.
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We keep embeddings right next to the rest of our data in MongoDB, with no separate vector database to run or sync. One less system to maintain.
MongoDB's flexible document model let us iterate on schema as fast as we shipped features. No migrations slowing us down, and the aggregation pipeline handles everything from analytics to complex joins.
Best DB for start startup.
our backbone for scalable compliance storage.