Feature/add azure open ai

[prajwal-pai77]

• Add gsi/azureOpenAI example tutorial
• Update gsi/bedrock by removing unnecessary imports

[gemini-code-assist]

Summary of Changes

Hello @prajwal-pai77, 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 enhances the repository's tutorial structure by introducing a new Azure OpenAI GSI example and reorganizing existing Bedrock and Azure OpenAI tutorials to clearly distinguish between FTS and GSI approaches. The changes aim to improve clarity and expand the range of demonstrated vector search methods.

Highlights

• New Azure OpenAI GSI Tutorial: Introduces a new tutorial demonstrating Retrieval-Augmented Generation (RAG) with Couchbase and Azure OpenAI using the Global Secondary Index (GSI) approach for vector similarity search.
• Tutorial Structure Refinement: Existing Bedrock and Azure OpenAI tutorials have been reorganized into 'fts/' subdirectories, clearly separating Full Text Search (FTS) examples from the newly introduced GSI examples.
• Documentation Clarity: The 'README.md' has been updated to provide clearer instructions and explanations regarding the two distinct approaches (FTS and GSI) for semantic search within the repository.
• Bedrock GSI Example Preparation: New placeholder files ('.env.sample', 'frontmatter.md') have been added for a future Bedrock GSI tutorial, aligning with the new tutorial structure.

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[gemini-code-assist]

Code Review

This pull request refactors the repository to support both FTS and GSI approaches for semantic search and adds a new tutorial for Azure OpenAI. The changes are well-structured, but I've found a few areas for improvement. I've left comments regarding some missing sections in the README, undescriptive link texts in the notebooks, and missing files for the new Azure GSI tutorial which makes it incomplete.