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NomicEmbeddingFunction

NomicEmbeddingFunction is a class in pymilvus that handles encoding text into embeddings using Nomic embedding models to support embedding retrieval in Milvus.

pymilvus.model.dense.NomicEmbeddingFunction

Constructor​

Constructs a NomicEmbeddingFunction for common use cases.

NomicEmbeddingFunction(
    model_name: str = "nomic-embed-text-v1.5",
    task_type: str = "search_document",
    dimensions: int = 768,
    **kwargs
)

PARAMETERS:

  • model_name (string)

    The name of the Nomic embedding model to use for encoding. The value defaults to nomic-embed-text-v1.5. For more information, refer to Nomic official documentation.

  • task_type (string)

    The type of task the model is being used for.

  • dimensions (int)

    The dimensionality of the output embeddings.

  • kwargs

    • long_text_mode (string)

      How to handle texts longer than the model can accept. One of mean or truncate.

Examples​

from pymilvus.model.dense import NomicEmbeddingFunction

ef = NomicEmbeddingFunction(
    model_name="nomic-embed-text-v1.5", # Defaults to `mistral-embed`
)