| Name | llama-index-embeddings-nebius JSON |
| Version |
0.2.0
JSON |
| download |
| home_page | None |
| Summary | llama-index embeddings Nebius AI Studio integration |
| upload_time | 2024-11-20 16:10:03 |
| maintainer | None |
| docs_url | None |
| author | Your Name |
| requires_python | <4.0,>=3.8.1 |
| license | MIT |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# LlamaIndex Embeddings Integration: [Nebius AI Studio](https://studio.nebius.ai/)
## Overview
Integrate with Nebius AI Studio API, which provides access to open-source state-of-the-art text embeddings models.
## Installation
```bash
pip install llama-index-embeddings-nebius
```
## Usage
### Initialization
#### With environmental variables.
```.env
NEBIUS_API_KEY=your_api_key
```
```python
from llama_index.embeddings.nebius import NebiusEmbedding
embed_model = NebiusEmbedding(model_name="BAAI/bge-en-icl")
```
#### Without environmental variables
```python
from llama_index.embeddings.nebius import NebiusEmbedding
embed_model = NebiusEmbedding(
api_key="your_api_key", model_name="BAAI/bge-en-icl"
)
```
### Launching
#### Basic usage
```python
text = "Everyone loves justice at another person's expense"
embeddings = embed_model.get_text_embedding(text)
print(embeddings[:5])
```
#### Asynchronous usage
```python
text = "Everyone loves justice at another person's expense"
embeddings = await embed_model.aget_text_embedding(text)
print(embeddings[:5])
```
#### Batched usage
```python
texts = [
"As the hours pass",
"I will let you know",
"That I need to ask",
"Before I'm alone",
]
embeddings = embed_model.get_text_embedding_batch(texts)
print(*[x[:3] for x in embeddings], sep="\n")
```
#### Batched asynchronous usage
```python
texts = [
"As the hours pass",
"I will let you know",
"That I need to ask",
"Before I'm alone",
]
embeddings = await embed_model.aget_text_embedding_batch(texts)
print(*[x[:3] for x in embeddings], sep="\n")
```
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"description": "# LlamaIndex Embeddings Integration: [Nebius AI Studio](https://studio.nebius.ai/)\n\n## Overview\n\nIntegrate with Nebius AI Studio API, which provides access to open-source state-of-the-art text embeddings models.\n\n## Installation\n\n```bash\npip install llama-index-embeddings-nebius\n```\n\n## Usage\n\n### Initialization\n\n#### With environmental variables.\n\n```.env\nNEBIUS_API_KEY=your_api_key\n\n```\n\n```python\nfrom llama_index.embeddings.nebius import NebiusEmbedding\n\nembed_model = NebiusEmbedding(model_name=\"BAAI/bge-en-icl\")\n```\n\n#### Without environmental variables\n\n```python\nfrom llama_index.embeddings.nebius import NebiusEmbedding\n\nembed_model = NebiusEmbedding(\n api_key=\"your_api_key\", model_name=\"BAAI/bge-en-icl\"\n)\n```\n\n### Launching\n\n#### Basic usage\n\n```python\ntext = \"Everyone loves justice at another person's expense\"\nembeddings = embed_model.get_text_embedding(text)\nprint(embeddings[:5])\n```\n\n#### Asynchronous usage\n\n```python\ntext = \"Everyone loves justice at another person's expense\"\nembeddings = await embed_model.aget_text_embedding(text)\nprint(embeddings[:5])\n```\n\n#### Batched usage\n\n```python\ntexts = [\n \"As the hours pass\",\n \"I will let you know\",\n \"That I need to ask\",\n \"Before I'm alone\",\n]\n\nembeddings = embed_model.get_text_embedding_batch(texts)\nprint(*[x[:3] for x in embeddings], sep=\"\\n\")\n```\n\n#### Batched asynchronous usage\n\n```python\ntexts = [\n \"As the hours pass\",\n \"I will let you know\",\n \"That I need to ask\",\n \"Before I'm alone\",\n]\n\nembeddings = await embed_model.aget_text_embedding_batch(texts)\nprint(*[x[:3] for x in embeddings], sep=\"\\n\")\n```\n",
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