Mistral AI embedder
Mistral AI embedder implementation for datapizza-ai
Installation
pip install datapizza-ai-embedders-mistral
Usage
from datapizza.embedders.mistral import MistralEmbedder
embedder = MistralEmbedder(api_key="your-google-api-key")
embeddings = embedder.embed("Hello world", model_name="models/text-embedding-004")
1 maintainer
Metadata
1 maintainer
Release files for datapizza-ai-embedders-mistral 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datapizza_ai_embedders_mistral-0.0.2.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datapizza_ai_embedders_mistral-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / datapizza_ai_embedders_mistral-0.0.2.tar.gz
| Download URL | datapizza_ai_embedders_mistral-0.0.2.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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python-httpx/0.28.1
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Release files / datapizza_ai_embedders_mistral-0.0.2-py3-none-any.whl
| Download URL | datapizza_ai_embedders_mistral-0.0.2-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.28.1
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