Add GSI-based vector search implementation

[azaddhirajkumar]

No description provided.

[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 significantly expands the demo's capabilities by integrating a GSI-based vector search option, complementing the existing FTS-based approach. The changes provide users with more flexibility in choosing their vector search strategy within Couchbase, along with comprehensive documentation to guide the setup and execution of both methods.

Highlights

• New GSI-Based Vector Search Implementation: Introduced a new chat_with_pdf_gsi.py file, providing an alternative vector search implementation leveraging Couchbase Global Secondary Indexes (GSI) for enhanced query capabilities.
• Updated Configuration and Documentation: The secrets.example.toml file and README.md have been updated to clearly distinguish between FTS-based and GSI-based vector search configurations, offering detailed setup instructions for both approaches.
• Dependency Update: The langchain-couchbase dependency has been upgraded to version 0.5.0 to support the new GSI vector store functionalities.

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[gemini-code-assist]

Code Review

This pull request introduces a GSI-based vector search implementation as an alternative to the existing FTS-based approach. This is a great addition, providing users with two different ways to leverage Couchbase vector search. The changes include a new chat_with_pdf_gsi.py application, updates to the README.md to document both approaches, and configuration adjustments.

My review focuses on improving the code quality and maintainability of the new GSI implementation and ensuring the documentation is clear and accessible. I've suggested refactoring some parts of the new Python script for better readability and adherence to conventions, and pointed out some potentially broken links in the README. Overall, the changes are well-structured and the new documentation is very thorough.

[nithishr]

Some minor updates & we should be good to go