Documentation

Welcome to RAGDL Platform

RAGDL is an advanced, modular AI platform built for secure, scalable, and intelligent data orchestration. Designed to unify retrieval, analysis, and generation. RAGDL leverages AI agents and Model Context Protocol (MCP) to ensure context-aware, trustworthy outcomes across multi-source data pipelines.

Documentation Screenshot

RAG System Architecture

Quickly Find What You Need

Use the search bar at the top of the page or press the / key to quickly find specific topics across our documentation.

Intuitive Data Integration

With MCP-powered pipelines, the platform connects, prepares, and processes data across cloud environments like Azure, AWS, and Snowflake — all while maintaining contextual integrity and compliance with GDPR and other regulations.

Key Components

  • Model Context Protocol (MCP) – Defines how agents and models manage, extend, and share context across tasks
  • Custom Connectors & Plugins – Rapidly adapt to new sources and use cases
  • RAGAS Integration – Measure retrieval and response quality with built-in evaluation layers
  • Security by Design – Role-based access, encryption, and full audit trails

Use Cases

  • Business Analytics
  • Cloud Data Search & Analysis
  • Compliance & Data Protection
  • Document Processing Automation
  • Code Repository Intelligence
  • Legal Document Analysis
  • Business Intelligence Automation
  • Healthcare Assistant
  • Sales Automation Agent
  • Travel Planner Agent
  • Database Migration Agent

Community & Support

Join a growing ecosystem of developers, data engineers, and enterprises working to build smarter, compliant AI systems. Detailed docs, SDKs, and live support available.

Contact us →