AgenticAI
Autonomous multi-agent research system that generates comprehensive reports with citations in under 2 minutes.
Completed
Yes
Duration
4 months
Role
AI Engineer
Team
Solo project
Problem
Enterprise teams spend days manually researching topics across scattered sources, producing inconsistent and incomplete reports.
Solution
Built a multi-agent system with LangGraph orchestration where specialized AI agents autonomously gather, analyze, cross-reference, and synthesize information into structured reports.
Impact
90% reduction in manual research effort. Full reports generated in <2 minutes with automated citations.
About This Project
AgenticAI is an advanced autonomous research assistant powered by LangChain and LangGraph. It automates the entire research workflow from query understanding to comprehensive report generation.
The system uses multiple AI agents working in coordination to search, analyze, synthesize, and present information in a structured format. Built with FastAPI for the backend and Streamlit for the interactive frontend.
Features include intelligent query processing, multi-source data aggregation, automated citation management, and real-time progress tracking.
Key Features
Technical capabilities and highlights
Multi-agent architecture for distributed research tasks
Automated web scraping and data extraction
Intelligent query understanding and refinement
Real-time research progress tracking
Comprehensive report generation with citations
PostgreSQL database for research history
Docker containerization for easy deployment
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