Now Available – Version 1.0

RAG Infrastructure
for Enterprise AI

The complete middleware between your application and LLMs. Prompt management, cost control, policy enforcement, and intelligent context retrieval – all in one solution.

Get Started Free View Documentation →

How AnoRag Works

🚀
Your App
AnoRag
🧠
LLM

Everything You Need for Production RAG

📚

Document Pipeline

Automatic chunking, embedding, and storage of your documents. Smart context selection delivers precisely relevant information to every query.

Chunking Embeddings MongoDB
🎯

Prompt Management

Centralized control over all your prompts. Test with variable presets and deploy changes without touching your application code.

Versioning Test Presets Hot Reload
🔬

Prompt A/B Testing

Run controlled experiments on prompt variations. Compare performance metrics and confidently roll out the best-performing prompts.

Split Testing Metrics Auto-Winner
🛡️

Policy Engine

Default and custom policies for consistent LLM behavior. Compliance, brand safety, and guardrails built right in.

Default Policies Custom Rules Guardrails
📊

Performance Monitoring

Full observability across every pipeline step. Track latency, token usage, retrieval quality, and response accuracy in real-time.

Latency Tracking Quality Metrics Dashboards
💰

Spend Management

Complete control over your LLM costs. Set budgets, configure alerts, and get detailed usage analytics per account and endpoint.

Budgets Alerts Analytics
🔌

Model Abstraction

One API for all LLMs. Switch providers without code changes. OpenAI, Anthropic, Azure, local models – your choice.

Multi-Provider Fallback Unified API
🚀

Easy Deployment

Deploy anywhere in minutes. Docker-ready, Kubernetes-compatible, or let us handle everything with our managed offering.

Docker Kubernetes Managed

Simple Integration

AnoRag handles the complexity. Your app sends a single request – we take care of context retrieval, policy enforcement, prompt assembly, and LLM communication. One endpoint, full power.

View API Docs
// One request – AnoRag handles the rest const response = await anorag.query({ "prompt_id": "customer-support-v2", "user_message": userInput, "variables": { "customer_name": customer.name, "product": customer.product } }); // Automatically included: // ✓ Relevant document chunks // ✓ System prompt + policies // ✓ Spend tracking // ✓ Performance metrics

Transparent & Flexible

Starter

Self-Hosted

€499 / one-time

For teams that want full control

  • Unlimited documents
  • All core features
  • Docker deployment
  • Community support
  • 1 year of updates
Contact Sales

Enterprise

Custom

Custom

For complex requirements

  • Everything in Managed
  • Dedicated instance
  • Custom integrations
  • On-premise option
  • Custom SLA
Talk to Us

Ready to Ship Production RAG?

Get started in minutes. No credit card required for the demo.

Request Your Free Demo