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by OpenAI·ML Platform
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Allspice

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Use Cases (1)

A
Allspice
20% → 97%
ingredient matching accuracy

Allspice, a food technology startup building a kitchen operating system for consumers and recipe publishers, deployed Pinecone’s vector database to solve the inherent messiness of ingredient data that traditional text search could not handle. The implementation raised ingredient matching accuracy from roughly 20% to 97%, enabling the launch of recipe importing as a core product feature and expanding into a platform-wide semantic layer for search, recommendations, and conversational AI.

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text-embedding-3-largePPinecone
text-embedding-3-large AI Use Cases & Reviews | Applied