DA-1320 Updates according to latest docs for Hugging Face

[azaddhirajkumar]

No description provided.

[github-actions]

Caution

Notebooks or Frontmatter Files Have Been Modified

• Please ensure that a frontmatter.md file is accompanying the notebook file, and that the frontmatter is up to date.
• These changes will be published to the developer portal tutorials only if frontmatter.md is included.
• Proofread all changes before merging, as changes to notebook and frontmatter content will update the developer tutorial.

4 Notebook Files Modified:

Notebook File	Frontmatter Included?
capella-model-services/llamaindex/RAG_with_Couchbase_Capella.ipynb	❌
capella-model-services/llamaindex/query_based/RAG_with_Capella_Model_Services_and_LlamaIndex.ipynb	✅
huggingface/query_based/hugging_face.ipynb	✅
huggingface/search_based/hugging_face.ipynb	✅

5 Frontmatter Files Modified:

Frontmatter File
capella-model-services/llamaindex/query_based/frontmatter.md
capella-model-services/llamaindex/search_based/frontmatter.md
huggingface/gsi/frontmatter.md
huggingface/query_based/frontmatter.md
huggingface/search_based/frontmatter.md
Note: frontmatter will be checked and tested in the Test Frontmatter workflow.

[gemini-code-assist]

Summary of Changes

Hello @azaddhirajkumar, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request modernizes the Hugging Face embeddings tutorials for Couchbase vector search by updating all references and examples to reflect the latest Couchbase vector index terminology. It renames directories and files, revises the content of Jupyter notebooks to introduce Hyperscale, Composite, and Search Vector Indexes, and cleans up notebook execution outputs, ensuring the documentation is current and accurate.

Highlights

• Terminology Update: Replaced 'GSI Vector Search' and 'FTS Vector Search' with 'Hyperscale and Composite Vector Indexes' and 'Search Vector Index' respectively across documentation and code to align with the latest Couchbase terminology.
• Tutorial Restructuring: Renamed and reorganized tutorial files and directories (e.g., 'gsi' to 'query_based', 'fts' to 'search_based') to better reflect the new vector index terminology and structure.
• Jupyter Notebook Enhancements: Updated content within Jupyter notebooks to reflect the new index types, including revised descriptions, performance comparisons, code examples, and documentation links.
• Dependency Update: Bumped the 'langchain-couchbase' dependency version from '0.5.0' to '1.0.1' in the 'hugging_face.ipynb' notebook.
• Notebook Cleanup: Removed all execution outputs from Jupyter notebooks to ensure a clean state for future runs and improved readability.

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[gemini-code-assist]

Code Review

This pull request provides a comprehensive update to the Hugging Face tutorials, aligning them with the latest Couchbase terminology. The changes from GSI/FTS to Hyperscale/Composite/Search Vector Indexes are applied consistently across documentation, notebooks, and file structures. The cleanup of Jupyter notebooks by removing outputs and execution counts is also a good improvement for repository hygiene.

I have one suggestion regarding a dependency in one of the notebooks to ensure future reproducibility. Overall, this is a solid update.

[gemini-code-assist]

For the sake of reproducibility of this tutorial, it's a good practice to pin the version of all dependencies. The langchain_huggingface package is not pinned, which could lead to issues if a future version introduces breaking changes. This is also inconsistent with huggingface/search_based/hugging_face.ipynb where langchain_huggingface is pinned.

Consider pinning it to a specific version, for example, the previously used 0.3.1 if it's compatible with langchain-couchbase==1.0.1, or a newer known-to-work version.

Suggested change

	"!pip install --quiet langchain-couchbase==1.0.1 transformers==4.56.1 sentence_transformers==5.1.0 langchain_huggingface python-dotenv==1.1.1 ipywidgets"
	"!pip install --quiet langchain-couchbase==1.0.1 transformers==4.56.1 sentence_transformers==5.1.0 langchain_huggingface==0.3.1 python-dotenv==1.1.1 ipywidgets"

[VirajAgarwal1]

This is a good one

[VirajAgarwal1]

It should be compatible with latest version.

[VirajAgarwal1]

Looks good. Just a small change needed for the merge.

[VirajAgarwal1]

Output for the Code blocks is needed to show the performance in the test section