Google GenAI Embeddings
This package provides a wrapper around the Google GenAI API, allowing you to use Gemini and Vertex AI embeddings in your projects.
Installation
pip install llama-index-embeddings-google-genai
Usage
from llama_index.embeddings.google_genai import GoogleGenAIEmbedding
embed_model = GoogleGenAIEmbedding(model_name="gemini-embedding-2-preview")
embeddings = embed_model.get_text_embedding("Hello, world!")
print(embeddings)
Vertex AI
embed_model = GoogleGenAIEmbedding(
model_name="gemini-embedding-2-preview",
vertexai_config={
"project": "your-project-id",
"location": "your-location",
},
)
1 maintainer
Metadata
1 maintainer
Release files for llama-index-embeddings-google-genai 0.6.0
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Source distribution (sdist)
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| llama_index_embeddings_google_genai-0.6.0.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llama_index_embeddings_google_genai-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.7 kB
Release files / llama_index_embeddings_google_genai-0.6.0.tar.gz
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Release files / llama_index_embeddings_google_genai-0.6.0-py3-none-any.whl
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| Size | 5.7 kB |
| Tags | Python 3 |
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