fix: Milvus get_field_kwargs()

[Sun-ZhenXing]

Description

Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.

Fixes #20085 (issue)

New Package?

Did I fill in the tool.llamahub section in the pyproject.toml and provide a detailed README.md for my new integration or package?

• Yes
• No

Version Bump?

Did I bump the version in the pyproject.toml file of the package I am updating? (Except for the llama-index-core package)

• Yes
• No

Type of Change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested?

Your pull-request will likely not be merged unless it is covered by some form of impactful unit testing.

• I added new unit tests to cover this change
• I believe this change is already covered by existing unit tests

Suggested Checklist:

• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• I have added Google Colab support for the newly added notebooks.
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• I ran uv run make format; uv run make lint to appease the lint gods

[Copilot]

Pull Request Overview

This pull request fixes a bug in the Milvus vector store implementation where sparse_embedding_field.get_field_kwargs() was incorrectly being called instead of sparse_embedding_function.get_field_kwargs().

Key Changes

• Fixed incorrect attribute name from sparse_embedding_field to sparse_embedding_function in the _add_fields_to_schema method

---

_{Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.}

[AstraBert]

Hey @Sun-ZhenXing, we need to bump the version of the integration to publish this package :)

[Sun-ZhenXing]

@AstraBert Sorry, I'm still not very familiar with the process. So can I update the llama-index-vector-stores-milvus version to generate a new release?

[AstraBert]

@AstraBert Sorry, I'm still not very familiar with the process. So can I update the llama-index-vector-stores-milvus version to generate a new release?

Yes, correct, you just need to update the version there, the rest will be taken care of by our CI/CD pipeline when we merge :)

[Sun-ZhenXing]

@AstraBert I have update the version here.