Docuralis
Agentic AI Platform
Overview
Advanced Agentic AI platform extending beyond RAG. It uses MCP (Model Context Protocol), Web Search, and API integrations to access public/private data, creating domain-specific agents for complex reasoning.
Context
Modern AI needs to go beyond static document search. Professionals require autonomous agents that can actively fetch external data (Web, APIs, Public Libraries) and synthesize it with internal knowledge.
The Challenge
Orchestrating Domain-Specific Agents with distinct capabilities (Tools) while maintaining security. The goal was to implement the Model Context Protocol (MCP) to standardize how agents interact with the world.
The Solution
Built a hybrid RAG + Agentic Platform. It enables the creation of specialized agents equipped with tools: Web Search, API Connectors (e.g., medical/legal databases), and Private RAG. Agents can plan, execute API calls, and reason across mixed data sources.
Results & Impact
- Medical Agent deployed: Advises on medications, drug interactions, and dosage
- Legal Agent deployed: Handles regulatory compliance and case analysis
- Platform for deploying specialized Domain Agents
- Full MCP support for standardized tool integration
Project Details
- Year
- 2025
- Duration
- Ongoing
- Team
- Solo Developer
- My Role
- AI Architect & Engineer
- Client / Sector
- Internal / Enterprise SaaS
Technologies
Key Impact
Enables autonomous multi-source reasoning