Nebius Embedder

Select an active embedding model from the Nebius List Models API and set its output dimensions.

nebius_embedder.py

import os

from agno.knowledge.embedder.nebius import NebiusEmbedder

embedder = NebiusEmbedder(
    id=os.environ["NEBIUS_EMBEDDING_MODEL"],
    dimensions=int(os.environ["NEBIUS_EMBEDDING_DIMENSIONS"]),
)
embedding = embedder.get_embedding(
    "The quick brown fox jumps over the lazy dog."
)

print(f"First values: {embedding[:5]}")
print(f"Dimensions: {len(embedding)}")

The SDK default, BAAI/bge-en-icl, is retired. Override both id and dimensions with values for an active Nebius embedding model.

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

uv venv --python 3.12
.venv\Scripts\activate

Export the API key and model settings

export NEBIUS_API_KEY=your_nebius_api_key_here
export NEBIUS_EMBEDDING_MODEL=your_active_embedding_model
export NEBIUS_EMBEDDING_DIMENSIONS=your_model_output_dimensions

Install dependencies

uv pip install -U agno openai

Run the example

python nebius_embedder.py

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Nebius Embedder

Run the Example

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Run the Example

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