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RAG Wizard
RAG Wizard
Build production RAG systems in 5 steps — from document upload to API deployment.
New here? Start with Project Setup to create your first RAG system in under 10 minutes.
What is RAG Wizard?
The RAG Wizard is a 5-step guided interface that transforms your documents into a searchable knowledge base with API access. Upload documents, configure processing, and get a live API endpoint — all from the dashboard.
5-Step Workflow
| Step | What You Do | Output |
|---|---|---|
| 1. Project Setup | Name, domain, use case | Project configuration |
| 2. Data Sources | Upload documents | Indexed documents |
| 3. Document Processing | Configure chunking | Processed chunks |
| 4. Pipeline Config | Select embedding/retrieval | Searchable knowledge base |
| 5. API Endpoints | Get API key | Live API endpoint |
Access Your RAG System
Once configured, your RAG system is available through three interfaces:
| Interface | Best For | Documentation |
|---|---|---|
| REST API | Direct integration, cURL, any language | API Reference |
| Python SDK | Python applications, scripts | Python SDK |
| MCP | AI agents, Claude Desktop, LangChain | MCP Integration |
Do
- Start with a clear project name and description
- Upload high-quality, well-structured documents
- Test similarity scores before deploying
- Use environment variables for API keys
Don't
- Upload scanned images without OCR enabled
- Use default chunking for all document types
- Deploy without testing the search endpoint
- Hardcode API keys in source code
Next Steps
- Project Setup — Configure your first RAG project
- Data Sources — Upload and organize documents
- API Reference — Explore all available endpoints
- Python SDK — Integrate with Python applications