Wirestack
Generate mistral-embed vectors and compare them in Python
Create 1024-dim embeddings with mistral-embed and score similarity between texts for search or dedupe.
Your keys
0 of 1 ready
Create each key on its own page, paste it below, then copy the finished lines into your project's .env file. What you paste stays in this tab. It is never sent to Wirestack or saved.
- Mistral AI API keyMISTRAL_API_KEYGet key
Click New key, set a name, expiry and connector scope, then copy the key. It is shown only once
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npx wirestack add mistral-embed-similarity-python@7Revision 7, checked Nov 15, 2026. Installs exactly
mistralai 3.7.0, creates the files and adds the key names to your .env. It shows everything first and asks before changing anything.Adapt to my stackProShowing the original (Python). Pick your stack to see it rewritten.
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