EmbedFlow

Zero-downtime migration of an existing vector database to a new embedding model.

PlatformWebfreeglobal

EmbedFlow enables zero-downtime migration of a production vector index to a new embedding model, serving the new model alongside existing candidates while target document vectors are re-embedded progressively in the background. It targets teams running a production RAG or semantic search system who need to upgrade their embedding model without a disruptive full re-index cutover.

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Problem & pain-point mapping
Who we surface it to (audience fit)
What it's a strong alternative to
Trust & credibility signals

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