Data Chat Smart Data Query & Visualization Assistant 

Client: IT Service Organization

Category: Langchain | LLM | NextJs | OpenRouter | SupaBase

Date: Sep,29, 2025

About the client

This IT services company specializes in handling multiple projects related to data engineering. They provide end-to-end services to numerous clients across the globe, catering to diverse industries and domains. With a strong focus on data engineering, they help organizations manage, process, and utilize their data effectively to drive business growth and innovation

Client’s requirement

QueryBot is designed as an interactive tool for exploring and analyzing datasets through natural language conversations. Traditional data analysis requires technical knowledge of SQL and database systems, but QueryBot simplifies this by allowing users to ask questions in plain English and automatically translating them into SQL queries.

The Tool Enables Users To:

Upload and analyze data files in CSV and SQLite formats (.sqlite3, .db).
Instantly preview table schemas and inspect sample data.
Ask natural language questions and receive both generated SQL queries and visualized outputs.
Interactively explore results with tables, charts, and downloadable CSVs.
Benefit from smart question suggestions and pre-built demo datasets (e.g., Card Transactions, HR Employee Data, Marvel Character Powers).
Seamlessly switch between dark and light modes for a better user experience.

QueryBot makes real-time data exploration accessible to non-technical users while still supporting advanced features for analysts.

Cannyfore Technology Solutions

Cannyfore Technology Solutions has implemented Query Bot as a modern Next.js web application with a modular architecture that supports scalability, responsiveness, and seamless user interaction.

On the Backend, Cannyfore leverages Next.js API routes to provide powerful data processing

Secure credential management (Model Name and API Key stored safely with hashing).
A drag-and-drop multi-file uploader with validation for CSV, Excel, and SQLite formats.
A table schema inspector that dynamically extracts CREATE TABLE statements, column names, and data types.
A natural language question input area with voice-to-text integration, enabling hands-free querying
Real-time SQL generation and display, along with reusable dynamic tables for results.
Interactive chart generation using Chart.js and Recharts, with multiple visualization types and CSV export options.
A vanilla JavaScript code viewer for developers who want to replicate results in raw JS.
A fully responsive design with dark/light theme toggle and “Go to Top” quick navigation button.

Through this architecture, QueryBot provides a seamless bridge between human language and machine-readable data, empowering organizations to explore datasets without requiring SQL expertise.

Key Technologies Used

OpenRouter LLM powers natural language to SQL query translation, enabling seamless interaction between users and databases.
LangChain (RAG) is integrated to intelligently split, embed, and query data.
MongoDB, Supabase, and ChromaDB are used for robust data persistence and vector storage.
Voice-to-Text API enables conversational, voice-based querying.
Next.js (React framework) powers the frontend with server-side rendering (SSR), routing, and optimized rendering.
TailwindCSS is used for responsive UI design with both dark and light mode support.
Chart.js and Recharts are integrated for rich data visualization capabilities.
React Context API is used for efficient state management.