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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>
16 lines
546 B
Markdown
16 lines
546 B
Markdown
# Mistral AI Embedding Examples
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This folder contains examples demonstrating how to use Mistral AI embedding models with the Agent Framework.
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## Examples
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| File | Description |
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|------|-------------|
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| [`mistral_embeddings.py`](mistral_embeddings.py) | Basic embedding generation with the Mistral AI embedding client. |
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## Environment Variables
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- `MISTRAL_API_KEY`: Your Mistral AI API key
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- `MISTRAL_EMBEDDING_MODEL`: Embedding model name (e.g., `mistral-embed`)
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- `MISTRAL_SERVER_URL` (optional): Server URL override for custom deployments
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