inference

Azure AI model inference for embeddings.

This class has been deprecated in favor of AzureAIOpenAIApiEmbeddingsModel.

Examples:

from langchain_azure_ai.embeddings import AzureAIEmbeddingsModel

embed_model = AzureAIEmbeddingsModel(
    endpoint="https://[your-endpoint].inference.ai.azure.com",
    credential="your-api-key",
)

If your endpoint supports multiple models, indicate the parameter model_name:

from langchain_azure_ai.embeddings import AzureAIEmbeddingsModel

embed_model = AzureAIEmbeddingsModel(
    endpoint="https://[your-service].services.ai.azure.com/models",
    credential="your-api-key",
    model="cohere-embed-v3-multilingual"
)

Troubleshooting:

To diagnostic issues with the model, you can enable debug logging:

import sys
import logging
from langchain_azure_ai.embeddings import AzureAIEmbeddingsModel

logger = logging.getLogger("azure")

# Set the desired logging level.
logger.setLevel(logging.DEBUG)

handler = logging.StreamHandler(stream=sys.stdout)
logger.addHandler(handler)

model = AzureAIEmbeddingsModel(
    endpoint="https://[your-service].services.ai.azure.com/models",
    credential="your-api-key",
    model="cohere-embed-v3-multilingual",
    client_kwargs={ "logging_enable": True }
)