Multi-tenant RAG engine with semantic search, AI-powered analysis, and vector similarity matching. Process any document type with custom schemas.
Everything you need to process, index, and search documents with AI-powered intelligence.
Each organization gets isolated apps, API keys, and data. Full access control built in.
768-dimensional embeddings with cosine similarity via Qdrant or ChromaDB vector stores.
Azure OpenAI and Anthropic Claude extract structured fields from any document.
Define document schemas per app. Validate, extract, and index exactly what you need.
Async document processing with webhook callbacks. Never block your main application.
Generate, rotate, and revoke API keys per organization. Track usage and last access.
Three steps to your first search result.
Create your organization and get an API key.
POST /api/v1/organizations/register
Define a document schema for your use case.
POST /api/v1/rag/apps
Push documents and query with semantic search.
POST /api/v1/rag/process/{app_id}
Registered Apps
768
Vector Dimensions
2
AI Providers
System Status