refactor: reogranize the contents (#235)

Signed-off-by: bitliu <[email protected]>

Author: Xunzhuo

.gitignore

@@ -114,4 +114,7 @@ results/
 
 # Cursor editor rules files
 .cursorrules
-.cursorrules.*
+.cursorrules.*
+
+# augment editor rules
+.augment

website/docs/api/router.md

@@ -647,8 +647,8 @@ logger.info(f"Request routed to {routing_info.get('selected_model')} "
 ## Next Steps
 
 - **[Classification API](classification.md)**: Detailed classification endpoints
-- **[System Architecture](../architecture/system-architecture.md)**: System monitoring and observability
-- **[Quick Start Guide](../getting-started/installation.md)**: Real-world integration examples
-- **[Configuration Guide](../getting-started/configuration.md)**: Production configuration
+- **[System Architecture](../overview/architecture/system-architecture.md)**: System monitoring and observability
+- **[Quick Start Guide](../installation/installation.md)**: Real-world integration examples
+- **[Configuration Guide](../installation/configuration.md)**: Production configuration
 
 For more advanced API usage and custom integrations, refer to the examples directory or join our community discussions.

website/docs/getting-started/semantic-cache.md

@@ -1,3 +1,7 @@
+---
+sidebar_position: 4
+---
+
 # Global Configuration
 
 This guide covers the configuration options for the Semantic Router. The system uses a single YAML configuration file that controls all aspects of routing, classification, and security.

website/docs/getting-started/configuration.md renamed to website/docs/installation/configuration.md

@@ -1,3 +1,7 @@
+---
+sidebar_position: 3
+---
+
 # Install with Docker Compose
 
 Run Semantic Router + Envoy locally using Docker Compose v2.

website/docs/getting-started/docker-quickstart.md renamed to website/docs/installation/docker-quickstart.md

@@ -1,3 +1,7 @@
+---
+sidebar_position: 2
+---
+
 # Install in Local
 
 This guide will help you set up and install the Semantic Router on your system. The router runs entirely on CPU and does not require GPU for inference.

website/docs/getting-started/installation.md renamed to website/docs/installation/installation.md

@@ -96,9 +96,9 @@ The router provides comprehensive monitoring through:
 
 ## 🔗 Quick Links
 
-- [**Getting Started**](getting-started/installation.md) - Setup and installation guide
+- [**Installation**](installation/installation.md) - Setup and installation guide
 - [**Overview**](overview/semantic-router-overview.md) - Deep dive into semantic routing concepts  
-- [**Architecture**](architecture/system-architecture.md) - Technical architecture and design
+- [**Architecture**](overview/architecture/system-architecture.md) - Technical architecture and design
 - [**Model Training**](training/training-overview.md) - How classification models are trained
 
 ## 📚 Documentation Structure
@@ -108,7 +108,7 @@ This documentation is organized into the following sections:
 ### 🎯 [Overview](overview/semantic-router-overview.md)
 Learn about semantic routing concepts, mixture of models, and how this compares to other routing approaches like RouteLLM and GPT-5's router architecture.
 
-### 🏗️ [Architecture](architecture/system-architecture.md) 
+### 🏗️ [Architecture](overview/architecture/system-architecture.md)
 Understand the system design, Envoy ExtProc integration, and how the router communicates with backend models.
 
 ### 🤖 [Model Training](training/training-overview.md)

website/docs/intro.md

@@ -473,4 +473,4 @@ func (pt *PerformanceTracker) RecordClassification(
 }
 ```
 
-This implementation provides the foundation for intelligent, secure, and performant LLM routing. The next section covers [Model Training](../training/training-overview.md), detailing how the classification models are developed and optimized.
+This implementation provides the foundation for intelligent, secure, and performant LLM routing. The next section covers [Model Training](../../training/training-overview.md), detailing how the classification models are developed and optimized.