[doc] Move AI to the top nav

docs/config/_default/menus.toml

@@ -115,15 +115,24 @@
     excludeVersion = true
 
 [[main]]
-  name = "Integrations"
+  name = "AI"
   weight = 3
+  url = "/preview/ai/"
+  [main.params]
+    excludeVersion = true
+    description = "Build AI applications with YugabyteDB - RAG, vector search, LLMs"
+    imageUrl = "/icons/ai.svg"
+
+[[main]]
+  name = "Integrations"
+  weight = 4
   url = "/preview/integrations/"
   [main.params]
     excludeVersion = true
 
 [[main]]
   name = "API"
-  weight = 4
+  weight = 5
   identifier = "yugabyte-apis"
   url = "/api/"
 
@@ -736,30 +745,6 @@
     classes = "separator"
     showSection = true
 
-[[preview_develop]]
-  name = "RAG"
-  weight = 10
-  parent = "tutorials-ai"
-  identifier = "tutorials-ai-rag"
-  [preview_develop.params]
-    showSection = true
-
-[[preview_develop]]
-  name = "Vector basics"
-  weight = 20
-  parent = "tutorials-ai"
-  identifier = "tutorials-ai-vector"
-  [preview_develop.params]
-    showSection = true
-
-[[preview_develop]]
-  name = "Agentic"
-  weight = 30
-  parent = "tutorials-ai"
-  identifier = "tutorials-ai-agentic"
-  [preview_develop.params]
-    showSection = true
-
 [[preview_develop]]
   name = "Cloud"
   weight = 40
@@ -776,6 +761,25 @@
   [preview_develop.params]
     showSection = true
 
+########## Menus (in preview) for AI
+
+[[preview_ai]]
+  name = "AI"
+  weight = 3
+  identifier = "ai"
+  url = "/preview/ai/"
+  [preview_ai.params]
+    showSection = true
+
+[[preview_ai]]
+  name = "Tutorials"
+  weight = 10
+  identifier = "ai-tutorials"
+  parent = "ai"
+  url = "/preview/ai/tutorials/"
+  [preview_ai.params]
+    showSection = true
+
 ########## Menus (in preview) for APIs
 
 # [[preview_api]]

docs/content/preview/additional-features/pg-extensions/extension-pgvector.md

@@ -217,6 +217,6 @@ A higher `ef_construction` value provides faster recall at the cost of index bui
 ## Learn more
 
 - Tutorial: [Build and Learn](/preview/develop/tutorials/build-and-learn/)
-- Tutorials: [Build scalable generative AI applications with YugabyteDB](/preview/develop/tutorials/ai/)
+- Tutorials: [Build scalable generative AI applications with YugabyteDB](/preview/ai/tutorials/)
 - [PostgreSQL pgvector: Getting Started and Scaling](https://www.yugabyte.com/blog/postgresql-pgvector-getting-started/)
 - [Multimodal Search with PostgreSQL pgvector](https://www.yugabyte.com/blog/postgresql-pgvector-multimodal-search/)

docs/content/preview/ai/_index.md

@@ -0,0 +1,83 @@
+---
+title: AI and YugabyteDB
+headerTitle: Develop applications with AI and YugabyteDB
+linkTitle: "AI"
+description: "Build AI applications with YugabyteDB - Postgres-based AI data store for real-time transactional applications"
+headcontent: "Build AI applications with YugabyteDB - Postgres-based AI data store for real-time transactional applications"
+menu:
+  preview:
+    identifier: ai
+    weight: 3
+type: indexpage
+showRightNav: true
+cascade:
+  unversioned: true
+breadcrumbDisable: true
+---
+
+YugabyteDB is a Postgres-based AI data store for real-time transactional applications that drives innovation and flexibility. To keep up with AI, we leverage the Postgres ecosystem and open community. YugabyteDB simplifies processing of unstructured data at scale, without unnecessary data movement. It enables production deployment with confidence, with ultra-resilience, scalability, data security, and enterprise-grade readiness.
+
+{{< sections/2-boxes >}}
+  {{< sections/bottom-image-box
+    title="Build your first RAG application"
+    description="Get started with the Hello RAG tutorial to build a Retrieval-Augmented Generation (RAG) pipeline with YugabyteDB."
+    buttonText="Get Started"
+    buttonUrl="/preview/ai/tutorials/hello-rag/"
+    imageAlt="AI with YugabyteDB" imageUrl="/images/homepage/yugabyte-in-cloud.svg"
+  >}}
+
+  {{< sections/bottom-image-box
+    title="Explore AI tutorials"
+    description="Learn how to build AI applications through our comprehensive collection of step-by-step tutorials."
+    buttonText="Explore"
+    buttonUrl="/preview/ai/tutorials/"
+    imageAlt="AI tutorials" imageUrl="/images/homepage/locally-laptop.svg"
+  >}}
+{{< /sections/2-boxes >}}
+
+## YugabyteDB for AI applications
+
+{{< sections/3-boxes>}}
+  {{< sections/3-box-card
+    title="Drives innovation & flexibility"
+    description="To keep up with AI, we leverage the Postgres ecosystem and open community."
+  >}}
+
+  {{< sections/3-box-card
+    title="Simplifies processing of unstructured data"
+    description="At scale, without unnecessary data movement."
+  >}}
+
+  {{< sections/3-box-card
+    title="Enables production deployment with confidence"
+    description="With ultra-resilience, scalability, data security, and enterprise-grade readiness."
+  >}}
+
+{{< /sections/3-boxes >}}
+
+## Build AI applications
+
+{{< sections/3-boxes>}}
+  {{< sections/3-box-card
+    title="AI tutorials"
+    description="Explore our comprehensive collection of AI tutorials covering RAG, vector search, and LLM integrations."
+    buttonText="Learn more"
+    buttonUrl="/preview/ai/tutorials/"
+  >}}
+
+  {{< sections/3-box-card
+    title="pgvector extension"
+    description="Learn how to use pgvector for vector similarity search and embeddings in YugabyteDB."
+    buttonText="Learn more"
+    buttonUrl="/preview/additional-features/pg-extensions/extension-pgvector/"
+  >}}
+
+  {{< sections/3-box-card
+    title="AI blogs"
+    description="Read about AI use cases, best practices, and insights from our community and experts."
+    buttonText="Read more"
+    buttonUrl="https://www.yugabyte.com/blog/?s=ai"
+    buttonTarget="_blank"
+  >}}
+
+{{< /sections/3-boxes >}}

docs/content/preview/develop/tutorials/AI/_index.md → docs/content/preview/ai/tutorials/_index.md

@@ -1,15 +1,9 @@
 ---
-title: Artificial Intelligence with YugabyteDB
-headerTitle: Develop applications with AI and YugabyteDB
-linkTitle: AI
-description: How to Develop Applications with AI and YugabyteDB
-image:
-headcontent: Add a scalable and highly-available database to your AI projects
-menu:
-  preview_develop:
-    parent: tutorials
-    identifier: tutorials-ai
-    weight: 30
+title: "AI tutorials"
+headerTitle: "AI tutorials"
+linkTitle: "Tutorials"
+description: "Learn how to build AI applications with YugabyteDB through step-by-step tutorials"
+headcontent: "Learn how to build AI applications with YugabyteDB through step-by-step tutorials"
 type: indexpage
 showRightNav: true
 cascade:
@@ -27,7 +21,6 @@ cascade:
 {{</index/block>}}
 
 {{<index/block>}}
-
 {{<index/item
     title="Similarity Search using Azure AI"
     body="Build a scalable generative AI application using YugabyteDB as the database backend."
@@ -39,7 +32,6 @@ cascade:
     body="Deploy generative AI applications using Google Vertex AI and YugabyteDB."
     href="google-vertex-ai/"
     icon="/images/tutorials/google/icons/Google-Vertex-AI-Icon.svg">}}
-
 {{</index/block>}}
 
 ## Vector basics
@@ -61,7 +53,6 @@ cascade:
 ## Agentic, multiple data sources, and multi-step reasoning
 
 {{<index/block>}}
-
 {{<index/item
     title="YugabyteDB MCP Server"
     body="Get LLMs to interact directly with YugabyteDB."
@@ -79,4 +70,4 @@ cascade:
     body="Build scalable applications with LLM integrations using LangChain and OpenAI."
     href="ai-langchain-openai/"
     icon="/images/tutorials/ai/icons/langchain-icon.svg">}}
-{{</index/block>}}
+{{</index/block>}}

docs/content/preview/develop/tutorials/AI/ai-langchain-openai.md → docs/content/preview/ai/tutorials/ai-langchain-openai.md

@@ -6,9 +6,9 @@ description: Learn to build context-aware LLM applications using LangChain and O
 image: /images/tutorials/ai/icons/langchain-icon.svg
 headcontent: Query your database using natural language
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-ai-langchain-openai
-    parent: tutorials-ai-agentic
+    parent: ai-tutorials
     weight: 60
 type: docs
 ---

docs/content/preview/develop/tutorials/AI/ai-llamaindex-openai.md → docs/content/preview/ai/tutorials/ai-llamaindex-openai.md

@@ -6,9 +6,9 @@ description: Learn to build RAG applications using LlamaIndex and OpenAI.
 image: /images/tutorials/ai/icons/llamaindex-icon.svg
 headcontent: Use YugabyteDB as the database backend for RAG applications
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-ai-llamaindex-openai
-    parent: tutorials-ai-agentic
+    parent: ai-tutorials
     weight: 60
 type: docs
 ---

docs/content/preview/develop/tutorials/AI/ai-localai.md → docs/content/preview/ai/tutorials/ai-localai.md

@@ -6,9 +6,9 @@ description: Learn to build LLM applications using LocalAI.
 image: /images/tutorials/ai/icons/localai-icon.svg
 headcontent: Use YugabyteDB as the database backend for LLM applications
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-ai-localai
-    parent: tutorials-ai-vector
+    parent: ai-tutorials
     weight: 60
 type: docs
 ---

docs/content/preview/develop/tutorials/AI/ai-ollama.md → docs/content/preview/ai/tutorials/ai-ollama.md

@@ -6,9 +6,9 @@ description: Learn to build LLM applications using Ollama.
 image: /images/tutorials/ai/icons/ollama-icon.svg
 headcontent: Use YugabyteDB as the database backend for LLM applications
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-ai-ollama
-    parent: tutorials-ai-vector
+    parent: ai-tutorials
     weight: 60
 type: docs
 ---

docs/content/preview/develop/tutorials/AI/azure-openai.md → docs/content/preview/ai/tutorials/azure-openai.md

@@ -8,9 +8,9 @@ headcontent: Use YugabyteDB as the database backend for Azure OpenAI application
 aliases:
   - /tutorials/azure/azure-openai/
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-azure-openai
-    parent: tutorials-ai-rag
+    parent: ai-tutorials
     weight: 40
 type: docs
 ---

docs/content/preview/develop/tutorials/AI/google-vertex-ai.md → docs/content/preview/ai/tutorials/google-vertex-ai.md

@@ -8,9 +8,9 @@ headcontent: Use YugabyteDB as the database backend for Google Vertex AI applica
 aliases:
   - /tutorials/google/google-vertex-ai/
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-google-vertex-ai
-    parent: tutorials-ai-rag
+    parent: ai-tutorials
     weight: 40
 type: docs
 ---

docs/content/preview/develop/tutorials/AI/hello-rag.md → docs/content/preview/ai/tutorials/hello-rag.md

@@ -5,9 +5,9 @@ linkTitle: Hello RAG
 description: Build a Retrieval-Augmented Generation (RAG) pipeline with YugabyteDB
 headcontent: Build a Retrieval-Augmented Generation pipeline with YugabyteDB
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-rag-hello
-    parent: tutorials-ai-rag
+    parent: ai-tutorials
     weight: 40
 type: docs
 ---

docs/content/preview/develop/tutorials/AI/mcp-server.md → docs/content/preview/ai/tutorials/mcp-server.md

@@ -5,9 +5,9 @@ linkTitle: YugabyteDB MCP Server
 description: Get LLMs to interact directly with YugabyteDB using a MCP server
 headcontent: Get LLMs to interact directly with YugabyteDB
 menu:
-  preview_develop:
+  preview_ai:
     identifier: tutorials-mcp-server
-    parent: tutorials-ai-agentic
+    parent: ai-tutorials
     weight: 20
 type: docs
 ---

docs/content/preview/explore/going-beyond-sql/gen-ai-apps.md

@@ -51,9 +51,9 @@ The primary purpose of the LLM is to convert a question in a natural language to
 
 Several tutorials on the different ways of setting up Gen-AI-based interfaces for your database are available:
 
-- [Using Langchain and OpenAI](/preview/develop/tutorials/ai/ai-langchain-openai/)
-- [Using LlamaIndex and OpenAI](/preview/develop/tutorials/ai/ai-llamaindex-openai/)
-- [Using local LLMs](/preview/develop/tutorials/ai/ai-localai/)
+- [Using Langchain and OpenAI](/preview/ai/tutorials/ai-langchain-openai/)
+- [Using LlamaIndex and OpenAI](/preview/ai/tutorials/ai-llamaindex-openai/)
+- [Using local LLMs](/preview/ai/tutorials/ai-localai/)
 
 ## Choice of LLM