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Mistral Embed

Mistral Embed is Mistral AI's general-purpose text embedding model with 1024 dimensions, designed for semantic search and retrieval tasks with a 55.26 score on the MTEB benchmark.

index.ts
import { embed } from 'ai';
const result = await embed({
model: 'mistral/mistral-embed',
value: 'Sunny day at the beach',
})

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Model
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
Providers
ZDR
No Training
Release Date
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