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Daria Korenieva
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* Python: Add Mistral AI embedding client package Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: fix dimensions check, sort embeddings by index, align docs Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: downgrade to alpha, remove integration tests - Change version to 1.0.0a260505 (alpha) - Update classifier to Development Status :: 3 - Alpha - Update PACKAGE_STATUS.md to alpha - Remove Mistral from integration test workflows (no API keys yet) Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Add samples directory for alpha package compliance Per python-package-management skill: alpha packages must include samples inside the package directory. Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Fix ruff formatting in sample file Signed-off-by: Daria Korenieva <daric2612@gmail.com> --------- Signed-off-by: Daria Korenieva <daric2612@gmail.com>
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Mistral AI Embedding Examples
This folder contains examples demonstrating how to use Mistral AI embedding models with the Agent Framework.
Examples
| File | Description |
|---|---|
mistral_embeddings.py |
Basic embedding generation with the Mistral AI embedding client. |
Environment Variables
MISTRAL_API_KEY: Your Mistral AI API keyMISTRAL_EMBEDDING_MODEL: Embedding model name (e.g.,mistral-embed)MISTRAL_SERVER_URL(optional): Server URL override for custom deployments