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Retrieval & EmbeddingsHard· Multilingual Search· Vector Indexing· Cost Optimization

A platform wants to consolidate five per-language index...

It is important to correct the premise that consolidating indexes leads to significant storage savings. Since the documents themselves do not disappear, a single index over the union of all documents will hold the same total vector count, meaning storage savings are effectively zero. The real value of consolidation lies in operational efficiency. By moving to a single multilingual model, the organization reduces the overhead of maintaining five separate model deployments, five distinct evaluation suites, and five separate on-call rotations.

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