Add AzureMLEndpointEmbeddings for embedding support via Azure ML serverless API

[Ko-Ko-Kirk]

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• PR title: "community: add Azure ML embedding endpoint for serverless API"

• PR message: Delete this entire checklist and replace with

  • Description: This PR introduces the AzureMLEndpointEmbeddings class, enabling users to obtain embeddings through Azure Machine Learning. The feature utilizes the embedding API on Azure ML, offering users a serverless embedding solution.The class allows for both synchronous and asynchronous text embedding via Azure ML embedding endpoint, integrating seamlessly into the LangChain ecosystem.

  • Issue: None

  • Dependencies: None

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• Add tests and docs: If you're adding a new integration, please include

  1. a test for the integration, preferably unit tests that do not rely on network access,
  2. an example notebook showing its use. It lives in docs/docs/integrations directory.

• Lint and test: Run make format, make lint and make test from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:

• Make sure optional dependencies are imported within a function.
• Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests.
• Most PRs should not touch more than one package.
• Changes should be backwards compatible.
• If you are adding something to community, do not re-import it in langchain.

If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.

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