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AI Engineer

AgenticAI

Autonomous multi-agent research system that generates comprehensive reports with citations in under 2 minutes.

PythonLangChainLangGraphOpenRouterFastAPIStreamlitPostgreSQLDocker

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

Interested in this project?

Let's discuss how similar solutions can be built for your needs.