Haystack and llamaindex fst and gsi examples

[shyam-cb]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @shyam-cb, 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 refines the descriptions for two tutorials, one integrating Haystack and another LlamaIndex, with OpenAI for Retrieval-Augmented Generation (RAG). The primary purpose of these changes is to standardize and accurately reflect the use of Couchbase's GSI (Global Secondary Index) vector indexing capabilities, ensuring consistency in terminology across the documentation.

Highlights

• Documentation Update: Corrected terminology in the description of the Haystack RAG tutorial, replacing 'Hyperscale vector index' with 'GSI vector index' and 'Hyper scale vector search' with 'GSI vector search'.
• Documentation Update: Corrected terminology in the description of the LlamaIndex RAG tutorial, updating references from 'Hyperscale vector search' to 'GSI vector search' and 'vector search capabilities' to 'GSI vector search capabilities'.

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[gemini-code-assist]

Code Review

This pull request updates the descriptions for the Haystack and LlamaIndex GSI examples to better align with the tutorial content. The changes replace references from 'Hyperscale' to the more general 'GSI' (Global Secondary Index), which accurately reflects the technology showcased. The updates are an improvement, and I have one minor suggestion to enhance terminological consistency between the two modified files.

[gemini-code-assist]

For consistency with the corresponding LlamaIndex example (lamaindex/gsi/___frontmatter._____md) and with line 8 in this file, consider using "GSI vector search" instead of "GSI vector index". While both terms are technically correct, using "GSI vector search" consistently across the examples would improve clarity for the reader.

Suggested change

	- Learn how to build a semantic search engine using Couchbase's GSI vector index.
	- Learn how to build a semantic search engine using Couchbase's GSI vector search.