ChatQRE AI Agent
Overview
The Challenge
ChatQRE was built to eliminate the manual, time-consuming nature of business data analysis. Instead of writing SQL or navigating multiple dashboards, users simply ask questions in plain English, and get instant, data-backed answers. We developed a secure, AI-powered agent that connects to internal databases, APIs, and live market feeds. It uses GPT-4 to interpret natural language, auto-generate structured queries, and summarize insights clearly. The system also supports contextual follow-ups, making it more like a conversation than a static dashboard. By replacing hours of analyst research with intelligent dialogue, ChatQRE reshaped how business teams explore data and make decisions.
Our Approach
How We Did It
Connected
Integrated vector DBs, APIs, and authentication for secure, real-time access.
Engineered
Built the AI agent using FastAPI, LangChain, and GPT-4 for query generation and summaries.
Deployed
Dockerized and deployed on AWS ECS, scaling from prototype to production in two phases.
Impact
The Results
The prototype went live in 3 weeks and was scaled in just 2 more. ChatQRE reduced manual research time by over 80%, empowering teams to ask follow-up questions, apply filters, and uncover trends in seconds, not hours.
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