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Turn natural language into data intelligence.

AI NexQuery lets you query databases, analyze documents, run machine learning workflows, and turn natural-language questions into useful data insights.

“Show the top products by revenue and explain the trend.” NATURAL LANGUAGE
AI NexQuery
DATA INTELLIGENCE
Show the top products by revenue and explain the trend.AI
AI GENERATED SQL SELECT product, SUM(revenue)
FROM sales
GROUP BY product
ORDER BY SUM(revenue) DESC;
MySQL · ready to run
AI INSIGHT Revenue is concentrated in 3 products.

AI identified the strongest contributors and summarized the trend from the query result.

● Analysis complete
Revenue by month+18.4%
JanFebMarAprMayJun
100K+Records tested
2SQL databases
RAGDocument Q&A
3ML workflows
Core features

Everything you need to work with data.

One focused workspace for natural-language SQL, document retrieval, AI-assisted analysis, machine learning and visualization.

01

Natural Language → SQL

Convert plain-English questions into SQL queries with AI assistance.

02

Database Intelligence

Work with MySQL and Microsoft SQL Server through a natural-language workflow.

03

AI Data Analysis

Analyze database results and surface useful patterns, summaries and insights.

04

Document Q&A

Ask questions across PDF, DOCX and TXT documents using AI-powered retrieval.

05

RAG Search

Use LangChain and FAISS-powered retrieval to find relevant document context.

06

ML Studio

Run supported machine-learning workflows without manually building every pipeline.

07

Interactive Visualization

Turn results into understandable charts and visual data insights.

08

Secure Access

Supabase Authentication and Row-Level Security support controlled application access.

AI capabilities

One AI workspace. Multiple ways to work.

Move from a question to the right data workflow—SQL generation, retrieval, analysis or machine learning.

01 / SQL

SQL Generation

Translate natural-language intent into readable SQL and refine the query before execution.

02 / RAG

Document Q&A

Retrieve relevant document context and answer questions across supported file types.

03 / ANALYSIS

Data Analysis

Turn query outputs into useful summaries, patterns and visual insights.

04 / ML

ML Studio

Explore KMeans, PCA and Isolation Forest workflows through a focused interface.

05 / INSIGHTS

Insight Generation

Make complex results easier to understand with concise AI-assisted explanations.

06 / DATA

Database Exploration

Work with supported database structures while keeping the interaction natural and focused.

QuestionNatural language
AI UnderstandingIntent + context
SQL / Retrieval / MLChoose workflow
AnalysisProcess results
InsightUseful output
Workspace

Ask your database questions naturally.

Go from a plain-English question to AI-assisted SQL, execution and understandable results.

Database intelligence

From a question to a useful answer.

Ask questions such as “Which products generated the highest revenue this quarter?” and use AI-assisted SQL generation to explore the result.

  • MySQL support
  • Microsoft SQL Server support
  • Natural-language querying
  • AI-assisted SQL generation
Query workspace CONNECTED
USER: Which products generated the highest revenue this quarter?
SELECT product, SUM(revenue) AS revenue
FROM sales
WHERE quarter = 'Q2'
GROUP BY product
ORDER BY revenue DESC;
Query executed successfullyRevenue
Document Q&A

Your documents, searchable with AI.

Upload PDF, DOCX or TXT documents and ask questions using LangChain + FAISS-powered retrieval/RAG.

  • PDF, DOCX and TXT support
  • Retrieval-powered document answers
  • LangChain + FAISS workflow
  • Relevant document context
PDF
Annual_Report.pdf
Document indexed · RAG ready
QUESTION: What were the main revenue drivers?
The main revenue drivers were identified from the relevant sections of the annual report. AI NexQuery retrieves supporting context before generating the answer.
LangChainFAISSRAG
ML Studio

Explore machine learning without unnecessary complexity.

Use a focused ML workspace for three supported workflows: clustering, dimensionality reduction and anomaly detection.

  • KMeans — clustering
  • PCA — dimensionality reduction
  • Isolation Forest — anomaly detection
KMeansClustering
PCADimensionality Reduction
Isolation ForestAnomaly Detection
Security

Built with security in mind.

AI NexQuery uses application-level authentication and access controls without making exaggerated security claims.

Supabase AuthenticationApplication authentication
Row-Level SecurityControlled row access
Controlled Data AccessAccess patterns designed around the workspace
Data GovernanceKeep access and workflow boundaries explicit
Secure API DevelopmentSecurity-conscious application architecture
Product architecture

A clear path from question to insight.

The core workflow connects AI understanding with supported SQL, retrieval and machine-learning operations.

User QuestionNatural language
AI / GeminiUnderstanding
SQL / RAG / MLWorkflow
Database / DocumentsSupported sources
AnalysisProcess
InsightsUseful output
Built by

Mohd Ibrahim Uddin

AI & Machine Learning Engineer · Python Developer · Data Analyst

AI NexQuery was designed and built end-to-end as an individual developer, combining Python, Gemini AI, SQL, LangChain, FAISS and secure application architecture.

FAQ

Questions, answered.

AI NexQuery is an AI-powered data intelligence platform for natural-language SQL, database analysis, document Q&A, RAG, machine learning workflows and data visualization.

AI NexQuery supports MySQL and Microsoft SQL Server.

Yes. It can convert natural-language questions into SQL and help users understand the generated query.

Yes. AI NexQuery supports questions over PDF, DOCX and TXT documents through an AI-powered retrieval workflow.

Document Q&A lets you ask questions about supported documents and retrieve relevant context using LangChain and FAISS-powered RAG.

ML Studio is the machine-learning workspace for supported workflows including KMeans, PCA and Isolation Forest.

The supported workflows are KMeans clustering, PCA dimensionality reduction and Isolation Forest anomaly detection.

The product uses Supabase Authentication and Row-Level Security for controlled application access.

AI NexQuery is available through the Microsoft Store.

Get started

Ready to ask your data better questions?

Explore AI NexQuery and turn natural-language questions into data-driven insights.

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