couchbase-examples · giriraj-singh-couchbase · Dec 8, 2025 · Dec 8, 2025 · Dec 9, 2025 · Dec 9, 2025
diff --git a/crewai/fts/frontmatter.md b/crewai/fts/frontmatter.md
diff --git a/crewai/gsi/frontmatter.md b/crewai/gsi/frontmatter.md
diff --git a/crewai/gsi/.env.sample → crewai/query_based/.env.sample b/crewai/gsi/.env.sample → crewai/query_based/.env.sample
diff --git a/...i/gsi/RAG_with_Couchbase_and_CrewAI.ipynb → ...based/RAG_with_Couchbase_and_CrewAI.ipynb b/...i/gsi/RAG_with_Couchbase_and_CrewAI.ipynb → ...based/RAG_with_Couchbase_and_CrewAI.ipynb
diff --git a/crewai/query_based/frontmatter.md b/crewai/query_based/frontmatter.md
@@ -0,0 +1,25 @@
+---
+# frontmatter
+path: "/tutorial-crewai-couchbase-rag-with-hyperscale-or-composite-vector-index"
+title: RAG with CrewAI using Couchbase Hyperscale and Composite Vector Index
+short_title: RAG with CrewAI using Couchbase Hyperscale and Composite Vector Index
+description:
+  - Learn to build a semantic search engine using [Couchbase](https://www.couchbase.com) and agent-based RAG workflows powered by [CrewAI](https://github.com/crewAIInc/crewAI).
+  - Explore Couchbase Hyperscale and Composite Vector Indexes for high-performance vector search, including pure vector and filtered similarity queries.
+  - Follow beginner-friendly, step-by-step instructions to build a fully functional semantic search system from scratch.
+
+content_type: tutorial
+filter: sdk
+technology:
+  - vector search
+tags:
+  - Hyperscale Vector Index
+  - Composite Vector Index
+  - Artificial Intelligence
+  - LangChain
+  - CrewAI
+sdk_language:
+  - python
+length: 60 Mins
+alt_paths: ["/tutorial-crewai-couchbase-rag-with-hyperscale-vector-index", "/tutorial-crewai-couchbase-rag-with-composite-vector-index"]
+---
diff --git a/crewai/fts/.env.sample → crewai/search_based/.env.sample b/crewai/fts/.env.sample → crewai/search_based/.env.sample
diff --git a/...i/fts/RAG_with_Couchbase_and_CrewAI.ipynb → ...based/RAG_with_Couchbase_and_CrewAI.ipynb b/...i/fts/RAG_with_Couchbase_and_CrewAI.ipynb → ...based/RAG_with_Couchbase_and_CrewAI.ipynb
diff --git a/crewai/fts/crew_index.json → crewai/search_based/crew_index.json b/crewai/fts/crew_index.json → crewai/search_based/crew_index.json
diff --git a/crewai/search_based/frontmatter.md b/crewai/search_based/frontmatter.md
@@ -0,0 +1,22 @@
+---
+# frontmatter
+path: "/tutorial-crewai-couchbase-rag-with-search-vector-index"
+title: RAG with CrewAI and Couchbase Search Vector Index
+short_title: RAG with CrewAI and Couchbase Search Vector Index
+description:
+  - Learn to build a semantic search engine using [Couchbase](https://www.couchbase.com) and agent-based RAG workflows powered by [CrewAI](https://github.com/crewAIInc/crewAI).
+  - Use CrewAI to create specialized agents that collaborate across the RAG pipeline, from retrieving documents to generating responses.
+  - Follow beginner-friendly, step-by-step instructions to build a complete semantic search system from scratch.
+content_type: tutorial
+filter: sdk
+technology:
+  - vector search
+tags:
+  - Search Vector Index
+  - Artificial Intelligence
+  - LangChain
+  - CrewAI
+sdk_language:
+  - python
+length: 60 Mins
+---