Add embedding integration with Intel Gaudi in llama-index-embeddings-gaudi

[jeanyu-habana]

Description

This PR adds Intel Gaudi support to the list of llama_index embeddings integration. This enables users to run embedding models locally on Intel Gaudi using llama_index modules.

Fixes # (issue)
N/A

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 make format; make lint to appease the lint gods

[logan-markewich]

This is kind of un-intuitive -- can we implement the actual embedding class from llama-index right? No need to involve langhcain (You could subclass BaseEmbedding or the HuggingFaceEmbedding class from llama-index_

[jeanyu-habana]

Okay, I have just re-written the implementation to be based on BaseEmbedding of llama-index. @logan-markewich
Also removed the Instruct class from the original implementation since we are focusing on embeddings in this PR.

[logan-markewich]

Thank you!

[jeanyu-habana]

@logan-markewich Could you please review my updates when you have a chance? I'd appreciate it if the PR can be merged after issues are resolved. Thanks so much!