Database Insights AI
Upload any database and get instant AI-powered insights. Ask questions in natural language and receive visualizations, trends, and actionable recommendations.
Hours of analysis in seconds
Project Overview
Client
Internal Product / SaaS Platform
Timeline
8 weeks
Role
Full-Stack Developer & AI Integration
Data analysis is time-consuming and requires specialized skills. I built a platform that lets anyone—regardless of technical background—upload a database and immediately start asking questions in plain English, getting AI-generated insights and visualizations.
The Challenge
- •Handle arbitrary database schemas without manual configuration
- •Generate accurate, contextual insights from complex relational data
- •Create visualizations automatically based on the data and questions
- •Make AI responses reliable and grounded in actual data (avoid hallucinations)
- •Scale to handle large datasets without excessive API costs
The Solution
A combination of intelligent schema analysis, RAG (Retrieval-Augmented Generation), and smart caching to deliver fast, accurate, and cost-effective AI analysis.
Schema Auto-Discovery
Automatically analyzes uploaded databases to understand table relationships, data types, and semantic meaning of columns.
Natural Language Queries
Users ask questions like 'What were our top products last quarter?' and get SQL-backed answers, not hallucinated guesses.
Smart Visualization
AI determines the best chart type for each answer and generates interactive visualizations automatically.
RAG Architecture
Retrieval-Augmented Generation ensures AI responses are grounded in actual data, with citations and confidence scores.
Cost Optimization
Intelligent query caching and schema summarization to minimize API calls while maintaining response quality.
Technology Stack
AI/ML
Backend
Database
Frontend
Infrastructure
Results
95%
Query accuracy
<3s
Average response time
10x
Faster than manual analysis
60%
Cost reduction vs naive approach
The platform dramatically reduces the time from data to insights. Business users who previously waited days for analyst reports can now self-serve, asking follow-up questions in real-time and exploring data independently.
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