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`
)