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Founders building in MLOps & vector databases
The back-room tools for storing embeddings, serving models, tracking experiments and keeping AI systems healthy in production.
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About MLOps & vector databases
Less visible than a chat window, but it decides whether an AI feature holds up. Here you will find retrieval stores, deployment tooling, evaluation and monitoring. Founders tend to write from hard-won experience, so look for their notes on scale, data handling and what breaks first.