Videos · · 2:12
What is Vector Storage
Vector storage represents content as embeddings, enabling semantic search, nearest-neighbor retrieval, metadata filtering, RAG, and recommendations.
Vector storage represents content as embeddings, enabling semantic search, nearest-neighbor retrieval, metadata filtering, RAG, and recommendations.
2:07Zero-copy data sharing lets external engines query live data in place, reducing duplicate storage, synchronization lag, and fragmented governance.
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2:04AI data access determines whether agents can find and use governed enterprise information with the speed and scope required for reliable work.
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2:07AI data strategy succeeds when it delivers relevant, current, authorized context at query time through reliable retrieval and freshness pipelines.
Watch the videoExplore example deployments, or see how the platform assembles, deploys, governs and operates the stack.