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Enarro - Production-Grade RAG Application

.NETLicenseAspire

A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.

🚀 Features

Core Capabilities

  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking

Production Features

  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management

🏗️ Architecture

Technology Stack

ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog

System Architecture

graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama
Loading

📋 Prerequisites

🚀 Quick Start

1. Clone the Repository

git clone https://github.com/yourusername/enarro.git
cd enarro

2. Pull Required Ollama Models

ollama pull phi3
ollama pull nomic-embed-text

3. Run with .NET Aspire

dotnet run --project Enarro.AppHost

This single command will:

  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard

4. Access the Application

📖 API Documentation

Document Management

Upload Single Document

POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}

Upload Multiple Documents

POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>

List Documents

GET /api/v1/documents?page=1&pageSize=20&tag=technical

Get Document Details

GET /api/v1/documents/{id}

Delete Document

DELETE /api/v1/documents/{id}

Chat Operations

Standard Chat

POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}

Streaming Chat

POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}

Response format (Server-Sent Events):

data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration

appsettings.json

{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}

🗄️ Database Schema

Documents Table

CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Document Tags Table

CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

🏥 Health Monitoring

Access the health endpoint to check all service statuses:

GET /health

Response:

{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}

📊 Logging

Logs are written to:

  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)

Log levels can be configured per namespace in appsettings.json:

{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}

🧪 Development

Running Migrations

cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update

Building the Project

dotnet build

Running Tests

dotnet test

🐳 Docker Deployment

The application uses .NET Aspire for container orchestration. All containers are managed automatically:

  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)

📈 Performance

  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session

🛣️ Roadmap

Phase 4: Enterprise Features (Planned)

  • JWT Authentication & Authorization
  • User Management System
  • API Rate Limiting
  • Advanced Query Rewriting
  • Document Versioning
  • Multi-tenancy Support

Phase 5: Optimization & Scaling (Planned)

  • Hybrid Search (Semantic + Keyword)
  • Re-ranking Pipeline
  • Caching Strategies
  • Performance Optimization
  • Load Testing

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

📧 Contact

For questions or support, please open an issue on GitHub.

Built with ❤️ using .NET 10 and .NET Aspire

About

A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.

Topics

aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis

Resources

Readme
MIT license

Contributing

Contributing

Security policy

Security policy
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Enarro - Production-Grade RAG Application
.NETLicenseAspire
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
🚀 Features
Core Capabilities
  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking
Production Features
  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management
🏗️ Architecture
Technology Stack
ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog
System Architecture
graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama

Loading
📋 Prerequisites
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/yourusername/enarro.git
cd enarro
2. Pull Required Ollama Models
ollama pull phi3
ollama pull nomic-embed-text
3. Run with .NET Aspire
dotnet run --project Enarro.AppHost
This single command will:
  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard
4. Access the Application
📖 API Documentation
Document Management
Upload Single Document
POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}
Upload Multiple Documents
POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>
List Documents
GET /api/v1/documents?page=1&pageSize=20&tag=technical
Get Document Details
GET /api/v1/documents/{id}
Delete Document
DELETE /api/v1/documents/{id}
Chat Operations
Standard Chat
POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}
Streaming Chat
POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}
Response format (Server-Sent Events):
data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration
appsettings.json
{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}
🗄️ Database Schema
Documents Table
CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Document Tags Table
CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
🏥 Health Monitoring
Access the health endpoint to check all service statuses:
GET /health
Response:
{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}
📊 Logging
Logs are written to:
  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)
Log levels can be configured per namespace in appsettings.json:
{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}
🧪 Development
Running Migrations
cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update
Building the Project
dotnet build
Running Tests
dotnet test
🐳 Docker Deployment
The application uses .NET Aspire for container orchestration. All containers are managed automatically:
  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)
📈 Performance
  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session
🛣️ Roadmap
Phase 4: Enterprise Features (Planned)
  •  JWT Authentication & Authorization
  •  User Management System
  •  API Rate Limiting
  •  Advanced Query Rewriting
  •  Document Versioning
  •  Multi-tenancy Support
Phase 5: Optimization & Scaling (Planned)
  •  Hybrid Search (Semantic + Keyword)
  •  Re-ranking Pipeline
  •  Caching Strategies
  •  Performance Optimization
  •  Load Testing
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
📧 Contact
For questions or support, please open an issue on GitHub.
Built with ❤️ using .NET 10 and .NET Aspire
About
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
Topics
aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Enarro - Production-Grade RAG Application
.NETLicenseAspire
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
🚀 Features
Core Capabilities
  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking
Production Features
  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management
🏗️ Architecture
Technology Stack
ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog
System Architecture
graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama

Loading
📋 Prerequisites
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/yourusername/enarro.git
cd enarro
2. Pull Required Ollama Models
ollama pull phi3
ollama pull nomic-embed-text
3. Run with .NET Aspire
dotnet run --project Enarro.AppHost
This single command will:
  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard
4. Access the Application
📖 API Documentation
Document Management
Upload Single Document
POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}
Upload Multiple Documents
POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>
List Documents
GET /api/v1/documents?page=1&pageSize=20&tag=technical
Get Document Details
GET /api/v1/documents/{id}
Delete Document
DELETE /api/v1/documents/{id}
Chat Operations
Standard Chat
POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}
Streaming Chat
POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}
Response format (Server-Sent Events):
data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration
appsettings.json
{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}
🗄️ Database Schema
Documents Table
CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Document Tags Table
CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
🏥 Health Monitoring
Access the health endpoint to check all service statuses:
GET /health
Response:
{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}
📊 Logging
Logs are written to:
  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)
Log levels can be configured per namespace in appsettings.json:
{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}
🧪 Development
Running Migrations
cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update
Building the Project
dotnet build
Running Tests
dotnet test
🐳 Docker Deployment
The application uses .NET Aspire for container orchestration. All containers are managed automatically:
  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)
📈 Performance
  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session
🛣️ Roadmap
Phase 4: Enterprise Features (Planned)
  •  JWT Authentication & Authorization
  •  User Management System
  •  API Rate Limiting
  •  Advanced Query Rewriting
  •  Document Versioning
  •  Multi-tenancy Support
Phase 5: Optimization & Scaling (Planned)
  •  Hybrid Search (Semantic + Keyword)
  •  Re-ranking Pipeline
  •  Caching Strategies
  •  Performance Optimization
  •  Load Testing
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
📧 Contact
For questions or support, please open an issue on GitHub.
Built with ❤️ using .NET 10 and .NET Aspire
About
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
Topics
aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Enarro - Production-Grade RAG Application
.NETLicenseAspire
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
🚀 Features
Core Capabilities
  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking
Production Features
  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management
🏗️ Architecture
Technology Stack
ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog
System Architecture
graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama

Loading
📋 Prerequisites
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/yourusername/enarro.git
cd enarro
2. Pull Required Ollama Models
ollama pull phi3
ollama pull nomic-embed-text
3. Run with .NET Aspire
dotnet run --project Enarro.AppHost
This single command will:
  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard
4. Access the Application
📖 API Documentation
Document Management
Upload Single Document
POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}
Upload Multiple Documents
POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>
List Documents
GET /api/v1/documents?page=1&pageSize=20&tag=technical
Get Document Details
GET /api/v1/documents/{id}
Delete Document
DELETE /api/v1/documents/{id}
Chat Operations
Standard Chat
POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}
Streaming Chat
POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}
Response format (Server-Sent Events):
data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration
appsettings.json
{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}
🗄️ Database Schema
Documents Table
CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Document Tags Table
CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
🏥 Health Monitoring
Access the health endpoint to check all service statuses:
GET /health
Response:
{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}
📊 Logging
Logs are written to:
  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)
Log levels can be configured per namespace in appsettings.json:
{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}
🧪 Development
Running Migrations
cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update
Building the Project
dotnet build
Running Tests
dotnet test
🐳 Docker Deployment
The application uses .NET Aspire for container orchestration. All containers are managed automatically:
  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)
📈 Performance
  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session
🛣️ Roadmap
Phase 4: Enterprise Features (Planned)
  •  JWT Authentication & Authorization
  •  User Management System
  •  API Rate Limiting
  •  Advanced Query Rewriting
  •  Document Versioning
  •  Multi-tenancy Support
Phase 5: Optimization & Scaling (Planned)
  •  Hybrid Search (Semantic + Keyword)
  •  Re-ranking Pipeline
  •  Caching Strategies
  •  Performance Optimization
  •  Load Testing
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
📧 Contact
For questions or support, please open an issue on GitHub.
Built with ❤️ using .NET 10 and .NET Aspire
About
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
Topics
aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Enarro - Production-Grade RAG Application
.NETLicenseAspire
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
🚀 Features
Core Capabilities
  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking
Production Features
  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management
🏗️ Architecture
Technology Stack
ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog
System Architecture
graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama

Loading
📋 Prerequisites
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/yourusername/enarro.git
cd enarro
2. Pull Required Ollama Models
ollama pull phi3
ollama pull nomic-embed-text
3. Run with .NET Aspire
dotnet run --project Enarro.AppHost
This single command will:
  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard
4. Access the Application
📖 API Documentation
Document Management
Upload Single Document
POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}
Upload Multiple Documents
POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>
List Documents
GET /api/v1/documents?page=1&pageSize=20&tag=technical
Get Document Details
GET /api/v1/documents/{id}
Delete Document
DELETE /api/v1/documents/{id}
Chat Operations
Standard Chat
POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}
Streaming Chat
POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}
Response format (Server-Sent Events):
data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration
appsettings.json
{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}
🗄️ Database Schema
Documents Table
CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Document Tags Table
CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
🏥 Health Monitoring
Access the health endpoint to check all service statuses:
GET /health
Response:
{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}
📊 Logging
Logs are written to:
  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)
Log levels can be configured per namespace in appsettings.json:
{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}
🧪 Development
Running Migrations
cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update
Building the Project
dotnet build
Running Tests
dotnet test
🐳 Docker Deployment
The application uses .NET Aspire for container orchestration. All containers are managed automatically:
  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)
📈 Performance
  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session
🛣️ Roadmap
Phase 4: Enterprise Features (Planned)
  •  JWT Authentication & Authorization
  •  User Management System
  •  API Rate Limiting
  •  Advanced Query Rewriting
  •  Document Versioning
  •  Multi-tenancy Support
Phase 5: Optimization & Scaling (Planned)
  •  Hybrid Search (Semantic + Keyword)
  •  Re-ranking Pipeline
  •  Caching Strategies
  •  Performance Optimization
  •  Load Testing
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
📧 Contact
For questions or support, please open an issue on GitHub.
Built with ❤️ using .NET 10 and .NET Aspire
About
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
Topics
aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Enarro - Production-Grade RAG Application
.NETLicenseAspire
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
🚀 Features
Core Capabilities
  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking
Production Features
  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management
🏗️ Architecture
Technology Stack
ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog
System Architecture
graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama

Loading
📋 Prerequisites
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/yourusername/enarro.git
cd enarro
2. Pull Required Ollama Models
ollama pull phi3
ollama pull nomic-embed-text
3. Run with .NET Aspire
dotnet run --project Enarro.AppHost
This single command will:
  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard
4. Access the Application
📖 API Documentation
Document Management
Upload Single Document
POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}
Upload Multiple Documents
POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>
List Documents
GET /api/v1/documents?page=1&pageSize=20&tag=technical
Get Document Details
GET /api/v1/documents/{id}
Delete Document
DELETE /api/v1/documents/{id}
Chat Operations
Standard Chat
POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}
Streaming Chat
POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}
Response format (Server-Sent Events):
data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration
appsettings.json
{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}
🗄️ Database Schema
Documents Table
CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Document Tags Table
CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
🏥 Health Monitoring
Access the health endpoint to check all service statuses:
GET /health
Response:
{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}
📊 Logging
Logs are written to:
  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)
Log levels can be configured per namespace in appsettings.json:
{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}
🧪 Development
Running Migrations
cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update
Building the Project
dotnet build
Running Tests
dotnet test
🐳 Docker Deployment
The application uses .NET Aspire for container orchestration. All containers are managed automatically:
  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)
📈 Performance
  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session
🛣️ Roadmap
Phase 4: Enterprise Features (Planned)
  •  JWT Authentication & Authorization
  •  User Management System
  •  API Rate Limiting
  •  Advanced Query Rewriting
  •  Document Versioning
  •  Multi-tenancy Support
Phase 5: Optimization & Scaling (Planned)
  •  Hybrid Search (Semantic + Keyword)
  •  Re-ranking Pipeline
  •  Caching Strategies
  •  Performance Optimization
  •  Load Testing
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
📧 Contact
For questions or support, please open an issue on GitHub.
Built with ❤️ using .NET 10 and .NET Aspire
About
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
Topics
aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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Enarro - Production-Grade RAG Application
.NETLicenseAspire
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
🚀 Features
Core Capabilities
  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking
Production Features
  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management
🏗️ Architecture
Technology Stack
ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog
System Architecture
graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama

Loading
📋 Prerequisites
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/yourusername/enarro.git
cd enarro
2. Pull Required Ollama Models
ollama pull phi3
ollama pull nomic-embed-text
3. Run with .NET Aspire
dotnet run --project Enarro.AppHost
This single command will:
  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard
4. Access the Application
📖 API Documentation
Document Management
Upload Single Document
POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}
Upload Multiple Documents
POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>
List Documents
GET /api/v1/documents?page=1&pageSize=20&tag=technical
Get Document Details
GET /api/v1/documents/{id}
Delete Document
DELETE /api/v1/documents/{id}
Chat Operations
Standard Chat
POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}
Streaming Chat
POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}
Response format (Server-Sent Events):
data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration
appsettings.json
{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}
🗄️ Database Schema
Documents Table
CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Document Tags Table
CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
🏥 Health Monitoring
Access the health endpoint to check all service statuses:
GET /health
Response:
{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}
📊 Logging
Logs are written to:
  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)
Log levels can be configured per namespace in appsettings.json:
{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}
🧪 Development
Running Migrations
cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update
Building the Project
dotnet build
Running Tests
dotnet test
🐳 Docker Deployment
The application uses .NET Aspire for container orchestration. All containers are managed automatically:
  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)
📈 Performance
  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session
🛣️ Roadmap
Phase 4: Enterprise Features (Planned)
  •  JWT Authentication & Authorization
  •  User Management System
  •  API Rate Limiting
  •  Advanced Query Rewriting
  •  Document Versioning
  •  Multi-tenancy Support
Phase 5: Optimization & Scaling (Planned)
  •  Hybrid Search (Semantic + Keyword)
  •  Re-ranking Pipeline
  •  Caching Strategies
  •  Performance Optimization
  •  Load Testing
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
📧 Contact
For questions or support, please open an issue on GitHub.
Built with ❤️ using .NET 10 and .NET Aspire
About
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
Topics
aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
Enarro - Production-Grade RAG Application
.NETLicenseAspire
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
🚀 Features
Core Capabilities
  • 📄 Multi-Document Processing - Batch upload and processing with parallel execution
  • 💬 Context-Aware Chat - Conversation history with session management
  • 🔄 Streaming Responses - Real-time chat responses using Server-Sent Events (SSE)
  • 📚 Document Management - Full CRUD operations with metadata persistence
  • 🔍 Semantic Search - Vector-based document retrieval with relevance scoring
  • 📊 Source Citations - Automatic citation extraction with relevance tracking
Production Features
  • 🗄️ PostgreSQL Integration - Persistent document metadata with EF Core
  • ⚡ Redis Distributed Caching - Session management for horizontal scaling
  • 📝 Structured Logging - Serilog with console and file outputs
  • 🏥 Health Checks - Comprehensive monitoring for all dependencies
  • 🐳 Container Orchestration - Full .NET Aspire infrastructure management
🏗️ Architecture
Technology Stack
ComponentTechnology
RAG OrchestrationMicrosoft Kernel Memory
LLM & EmbeddingsOllama (phi3, nomic-embed-text)
Vector DatabaseQdrant
Relational DatabasePostgreSQL
Distributed CacheRedis
Service Orchestration.NET Aspire
API FrameworkASP.NET Core 10.0
LoggingSerilog
System Architecture
graph TB
Client[Client] --> API[Enarro API]
API --> PG[(PostgreSQL)]
API --> Redis[(Redis Cache)]
API --> KM[Kernel Memory]
KM --> Qdrant[(Qdrant Vector DB)]
KM --> Ollama[Ollama LLM]
API --> HC[Health Checks]
HC -.-> PG
HC -.-> Redis
HC -.-> Qdrant
HC -.-> Ollama

Loading
📋 Prerequisites
🚀 Quick Start
1. Clone the Repository
git clone https://github.com/yourusername/enarro.git
cd enarro
2. Pull Required Ollama Models
ollama pull phi3
ollama pull nomic-embed-text
3. Run with .NET Aspire
dotnet run --project Enarro.AppHost
This single command will:
  • Start PostgreSQL container
  • Start Redis container
  • Start Qdrant container
  • Start Ollama container
  • Run database migrations
  • Launch the API
  • Open the Aspire dashboard
4. Access the Application
📖 API Documentation
Document Management
Upload Single Document
POST /api/v1/ingestContent-Type: multipart/form-datafile: <file>tags: {"category": "technical", "department": "engineering"}
Upload Multiple Documents
POST /api/v1/ingest/batchContent-Type: multipart/form-datafiles: <file1>, <file2>, <file3>
List Documents
GET /api/v1/documents?page=1&pageSize=20&tag=technical
Get Document Details
GET /api/v1/documents/{id}
Delete Document
DELETE /api/v1/documents/{id}
Chat Operations
Standard Chat
POST /api/v1/chatContent-Type: application/json
{
"message": "What is machine learning?",
"sessionId": "optional-session-id",
"userId": "optional-user-id",
"minRelevance": 0.3,
"filters": {
"category": "technical"
}
}
Streaming Chat
POST /api/v1/chat/streamContent-Type: application/json
{
"message": "Explain neural networks",
"sessionId": "session-123"
}
Response format (Server-Sent Events):
data: Neural
data: networks
data: are...
data: [DONE]

🔧 Configuration
appsettings.json
{
"RAGConfigs": {
"IndexName": "rag-test",
"ChatModel": "phi3",
"EmbeddingModel": "nomic-embed-text",
"Retrieval": {
"MinRelevance": 0.3,
"MaxResults": 5,
"AnswerTokens": 4096
},
"Conversation": {
"MaxHistoryMessages": 10,
"SessionTimeoutMinutes": 60
},
"DocumentProcessing": {
"MaxConcurrentUploads": 5,
"MaxFileSizeMB": 50,
"AllowedExtensions": [".pdf", ".docx", ".txt", ".md", ".xlsx", ".pptx", ".json"]
}
}
}
🗄️ Database Schema
Documents Table
CREATETABLEdocuments (
id UUID PRIMARY KEY,
file_name VARCHAR(500) NOT NULL,
content_type VARCHAR(100) NOT NULL,
size_bytes BIGINTNOT NULL,
uploaded_at TIMESTAMPNOT NULL,
uploaded_by VARCHAR(100),
status VARCHAR(50) NOT NULL,
chunk_count INTEGER DEFAULT 0,
error_message TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
Document Tags Table
CREATETABLEdocument_tags (
id SERIALPRIMARY KEY,
document_id UUID REFERENCES documents(id) ON DELETE CASCADE,
tag_key VARCHAR(100) NOT NULL,
tag_value VARCHAR(500) NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
🏥 Health Monitoring
Access the health endpoint to check all service statuses:
GET /health
Response:
{
"status": "Healthy",
"timestamp": "2026-02-07T06:00:00Z",
"checks": [
{
"name": "postgresql",
"status": "Healthy",
"duration": 12.5,
"tags": ["db", "sql"]
},
{
"name": "redis",
"status": "Healthy",
"duration": 8.3,
"tags": ["cache"]
},
{
"name": "ollama",
"status": "Healthy",
"duration": 45.2,
"tags": ["llm"]
},
{
"name": "qdrant",
"status": "Healthy",
"duration": 15.7,
"tags": ["vector-db"]
}
],
"totalDuration": 81.7
}
📊 Logging
Logs are written to:
  • Console: Colored output with timestamps
  • Files: logs/enarro-[date].log (30-day retention)
Log levels can be configured per namespace in appsettings.json:
{
"Serilog": {
"MinimumLevel": {
"Default": "Information",
"Override": {
"Microsoft.AspNetCore": "Warning",
"Microsoft.EntityFrameworkCore": "Warning",
"Enarro": "Debug"
}
}
}
}
🧪 Development
Running Migrations
cd Enarro
dotnet ef migrations add MigrationName
dotnet ef database update
Building the Project
dotnet build
Running Tests
dotnet test
🐳 Docker Deployment
The application uses .NET Aspire for container orchestration. All containers are managed automatically:
  • PostgreSQL: Port 5432 (persistent volume)
  • Redis: Port 6379 (persistent volume)
  • Qdrant: Port 6333 (HTTP), 6334 (gRPC) (persistent volume)
  • Ollama: Port 11434 (persistent volume)
📈 Performance
  • Concurrent Uploads: Up to 5 simultaneous document uploads
  • Session Timeout: 60 minutes (sliding), 24 hours (absolute)
  • Max File Size: 50 MB
  • Chunk Size: 512 tokens with 50-token overlap
  • Max History: 10 messages per session
🛣️ Roadmap
Phase 4: Enterprise Features (Planned)
  •  JWT Authentication & Authorization
  •  User Management System
  •  API Rate Limiting
  •  Advanced Query Rewriting
  •  Document Versioning
  •  Multi-tenancy Support
Phase 5: Optimization & Scaling (Planned)
  •  Hybrid Search (Semantic + Keyword)
  •  Re-ranking Pipeline
  •  Caching Strategies
  •  Performance Optimization
  •  Load Testing
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
📧 Contact
For questions or support, please open an issue on GitHub.
Built with ❤️ using .NET 10 and .NET Aspire
About
A production-ready Retrieval-Augmented Generation (RAG) application built with .NET 10, featuring advanced document processing, streaming chat responses, and comprehensive infrastructure orchestration using .NET Aspire.
Topics
aspire-dotnetdotnetkernel-memoryollamapgsqlqdrantragredis
Resources
Readme
MIT license
Contributing
Contributing
Security policy
Security policy
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages