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Merged
shyam-cb merged 17 commits into from
Oct 30, 2025
Merged

Haystack and llamaindex fst and gsi examples #63

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461afe3
haystack and llamaindex example for gsi and fts
shyam-cb Sep 25, 2025
f48c9e5
refactor
shyam-cb Sep 25, 2025
835fbb8
added not for default linear vector search
shyam-cb Oct 10, 2025
715ee15
haystack cookbook update
shyam-cb Oct 29, 2025
f64a834
composite changes
shyam-cb Oct 29, 2025
e4255a9
clean up
shyam-cb Oct 30, 2025
61f3620
reverted code
shyam-cb Oct 30, 2025
475be2b
reverted code
shyam-cb Oct 30, 2025
2058d53
file name changes
shyam-cb Oct 30, 2025
8c07af7
test fix
shyam-cb Oct 30, 2025
ea97901
tag name
shyam-cb Oct 30, 2025
640b3fe
fix for bulk error
shyam-cb Oct 30, 2025
5418d50
ignore llama index gsi example
shyam-cb Oct 30, 2025
412a572
tag changes
shyam-cb Oct 30, 2025
2ce3c60
description change
shyam-cb Oct 30, 2025
03c144d
formatter update
shyam-cb Oct 30, 2025
d099631
Merge branch 'main' into haystack_and_llamaindex_fst_and_gsi_examples
shyam-cb Oct 30, 2025
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4 changes: 2 additions & 2 deletions haystack/gsi/frontmatter.md
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Expand Up @@ -4,8 +4,8 @@ path: "/tutorial-openai-haystack-rag"
title: "Retrieval-Augmented Generation (RAG) with OpenAI and Haystack"
short_title: "RAG with Openai and Haystack"
description:
- Learn how to build a semantic search engine using Couchbase's Hyperscale vector index.
- This tutorial demonstrates how to integrate Couchbase's Hyper scale vector search capabilities with OpenAI embeddings.
- Learn how to build a semantic search engine using Couchbase's GSI vector index.
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@gemini-code-assist gemini-code-assist Bot Oct 30, 2025

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medium

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.

- This tutorial demonstrates how to integrate Couchbase's GSI vector search capabilities with OpenAI embeddings.
- You will understand how to perform Retrieval-Augmented Generation (RAG) using Haystack, Couchbase and OpenAI services.
content_type: tutorial
filter: sdk
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4 changes: 2 additions & 2 deletions lamaindex/gsi/___frontmatter._____md
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Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,8 @@ path: "/tutorial-openai-llamaindex-rag"
title: "Retrieval-Augmented Generation (RAG) with OpenAI and LlamaIndex"
short_title: "RAG with Openai and LlamaIndex"
description:
- Learn how to build a semantic search engine using Couchbase's Hyperscale vector search.
- This tutorial demonstrates how to integrate Couchbase's vector search capabilities with OpenAI embeddings.
- Learn how to build a semantic search engine using Couchbase's GSI vector search.
- This tutorial demonstrates how to integrate Couchbase's GSI vector search capabilities with OpenAI embeddings.
- You will understand how to perform Retrieval-Augmented Generation (RAG) using LlamaIndex and GSI vector indexes.
content_type: tutorial
filter: sdk
Expand Down
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