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TurboVec vector memory and semantic indexing

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TurboVec Is What Agent Memory Looks Like in Production

· 4 min read
John McMahon
CEO, Valkyr Labs Inc

Most agent memory demos stop at embeddings. They turn text into vectors, run a nearest-neighbor search, and call the result context.

That is a toy version of the problem.

Production memory has to answer harder questions. Who is allowed to see the record? Which business object did the evidence come from? Was the indexed source stale, unchanged, or newly refreshed? Can the agent cite a generated application object without inventing a custom evidence format? What should happen when the retrieval is weak, expensive, or unsafe?

That is the gap TurboVec is meant to close.