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QueryBox

Query Excel and CSV files using natural language.

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October 30, 2025

Dashboard Edit AI

QueryBox

Data analysis

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Query Excel and CSV files using natural language.

Overview

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Overview Discussion

Overview

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QueryBox is an AI-enabled query tool that makes it possible for users to question Excel, CSV, and PDF files using natural language. The tool's design eliminates the need for SQL knowledge hence empowering even non-technical users to gain insights from their data instantly.

A notable feature is the ability of the tool to intuitively understand questions asked in plain English to generate appropriate queries automatically.The tool also ensures data privacy with features that facilitate the secure processing of all files.

More so, QueryBox accurately detects relationships between tables when multiple files are uploaded concurrently, thus enabling complex queries. Beyond querying Excel and CSV files, additional Pro features include querying PDF documents and seamless integration with AI assistants such as Claude and ChatGPT through the Model Context Protocol (MCP).

Also, the RAG (Retrieval-Augmented Generation) powered search enables semantic search across data and facilitates meaningful insights even from fuzzy queries.Users can deploy autonomous AI agents for complex multi-step data analysis, generate reports, and discover hidden patterns.

The REST API access allows QueryBox to be integrated into other applications, and team collaboration features enable sharing of databases, queries, and insights.

Finally, role-based access control and audit logs are part of the package to ensure secure collaboration.

Key Features

Pro Version Coming Soon - Advanced Api Integration, Downloadable Solution.
Powered By Cutting-edge Ai From Google And Openai
Natural Language Queries - No Sql Required
Automatic Database Creation From Csv/excel/pdf
Ai-powered Query Generation
Multi-file Support
Export To Excel/csv
Secure Data Storage

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QueryBoxInitial

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Initial release

October 30, 2025

Russ Jamerson

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Initial release of QueryBox.

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Russ Jamerson

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Joined: October 2025

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Pros and Cons

Pros

Queries Excel, CSV, PDF files

No SQL knowledge required

Immediate results retrieval

Multiple file support

Detects table relationships

Data privacy and security

Accessible from any device

PDF document analysis support

Semantic search across data

Fuzzy query resolution

Can integrate into applications

Supports team collaboration

Sharing databases, queries, insights

Role-based access control

Audit logs included

REST API access

Non-installation functionality

Maintains persistent data storage

Facilitates advanced analytics dashboard

Supports custom integrations

PDF query alongside spreadsheets

Claude, ChatGPT, MCP integration

Reports generation functionality

Pattern discovery support

Priority 24/7 support

View 20 more pros

Cons

Only supports English

May misunderstand complex queries

Can't handle large datasets

Limited file size

No offline functionality

Pro features are paid

Lacks advanced analytics in free tier

Limited number of queries in free version

No custom integration in free version

PDF document analysis limited to Pro version

View 5 more cons

Q&A

What is QueryBox?

QueryBox is an advanced tool powered by AI, designed to make querying Excel, CSV, and PDF files easy using natural language. It allows users to upload their data, and it extracts insights instantly using simple English text. QueryBox doesn't require the user to have SQL knowledge. This tool can produce immediate results, supports multiple files, detects relationships between tables, and ensures data privacy and security.

What types of files does QueryBox support?

QueryBox supports multiple file types, specifically Excel, CSV, and PDF files.

Do I need to have SQL knowledge to use QueryBox?

No, users do not need to have any SQL knowledge to use QueryBox. It enables them to ask queries in simple English text and extracts the required data instantly.

How does the AI-Powered Queries feature of QueryBox work?

The AI-Powered Queries feature of QueryBox works by understanding the user's intent in their query, expressed in simple English. It then generates the corresponding query automatically, allowing for an effortless user experience.

Can QueryBox detect relationships between tables?

Yes, QueryBox can automatically detect relationships between tables. This is especially useful when working with multiple files at once and helps facilitate complex queries.

Is QueryBox secure for data privacy?

Yes, QueryBox prioritizes data privacy and security. It processes user data securely, and users can delete their data at any time. QueryBox assures that the user's information is never shared.

+ Show 34 more

Is there any specific installation required for QueryBox?

No, there's no specific installation required for QueryBox. It is designed to operate from any device with a browser, ensuring ease of use and constant availability of your data.

How does QueryBox's feature of querying PDFs work?

QueryBox's PDF querying feature allows the extraction of insights from PDF documents using the same natural language process as with Excel and CSV files. This makes it possible to analyze and interpret data contained in contracts, reports, and other PDF documents.

Can QueryBox be integrated with AI assistants?

Yes, QueryBox can be integrated with various AI assistants through the Model Context Protocol (MCP). This allows for seamless incorporation into custom workflows and extra functionalities enabled by the assistants.

What kind of analysis can the autonomous AI agents of QueryBox provide?

The autonomous AI agents of QueryBox can undertake complex, multi-step analysis, generate reports, and automatically discover hidden patterns in the data.

Can QueryBox be integrated into my existing applications?

Yes, QueryBox can be integrated into existing applications through REST API, providing programmatic access to all its features with detailed API documentation.

How does QueryBox promote team collaboration?

QueryBox promotes team collaboration by allowing the sharing of databases, queries, and insights with the team. This enables collective discussions and insights from multiple perspectives.

Does QueryBox provide role-based access control for team collaboration?

Yes, QueryBox provides role-based access control for team collaboration. This feature allows administrators to set and manage user roles and access rights within the team, offering a secure and controlled collaborative environment.

Can I use QueryBox for semantic search across data?

Yes, QueryBox allows for semantic search across data with its Retrieval-Augmented Generation (RAG) technology. This is useful for finding relevant information even with fuzzy queries.

Does QueryBox support multi-step analysis?

Yes, QueryBox is equipped with autonomous AI agents which enable complex, multi-step analysis. These agents can automatically perform deep-diving analysis and uncover hidden patterns in the data.

How does the Model Context Protocol in QueryBox benefit me?

The Model Context Protocol (MCP) in QueryBox benefits the user by allowing seamless integration with various AI assistants. This can significantly enhance the analytics capabilities, making custom workflow build-outs possible.

What is the Retrieval-Augmented Generation feature in QueryBox?

The Retrieval-Augmented Generation (RAG) feature in QueryBox is a form of semantic search technology. It allows users to discover relevant information across their data, even when the queries might not be very specific or clear.

Can I use QueryBox on my mobile device?

Yes, QueryBox can be used on mobile devices. It doesn’t require any specific installation, and is accessible from any device that has a browser.

How does QueryBox ensure constant data availability?

QueryBox constantly ensures data availability by being a browser-based tool. Users can access their data from any device with a browser, irrespective of the time and place.

Can I share databases, queries, and insights within my team using QueryBox?

Yes, using QueryBox you can share databases, queries, and insights with your team. This fosters team collaboration, and the shared resources can be accessed by the team for various purposes.

What is QueryBox?

QueryBox is an AI-powered tool designed to query Excel, CSV, and PDF files using natural language. Users do not require any SQL knowledge. The system uses AI, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) technologies to give immediate results.

How does QueryBox work?

QueryBox works by users uploading their data files. Users can then use simple English text to ask questions and receive immediate insights. It identifies relationships between data from different tables when multiple files are uploaded, and its inbuilt AI understands the user's intent and generates appropriate queries automatically.

What type of files can be analysed by QueryBox?

QueryBox can analyze Excel, CSV, and PDF files.

Do I require knowledge of SQL to use QueryBox?

No, users do not require knowledge of SQL to use QueryBox. The system enables them to ask questions and receive insights in simple English.

How does QueryBox protect my data privacy and security?

QueryBox ensures data privacy and security by processing all files securely. Users can delete their data at any time and QueryBox does not share user information.

Can QueryBox identify relationships between different file tables?

Yes, QueryBox can identify relationships between different tables from multiple files uploaded concurrently.

Does QueryBox need to be installed on my device?

No, QueryBox does not need to be installed on your device. It can be accessed from any device with a browser.

What are some key features of the forthcoming QueryBox PRO?

Key features of the forthcoming QueryBox PRO include PDF document analysis, integration with various AI assistants via Model Context Protocol (MCP), semantic search across data using Retrieval-Augmented Generation (RAG), deployment of autonomous AI agents for complex multi-step analysis, and integration with other applications through REST API.

Can QueryBox analyze PDF documents?

Yes, QueryBox PRO will have the ability to analyze PDF documents alongside spreadsheets.

How does QueryBox integrate with AI assistants?

QueryBox integrates with AI assistants like Claude and ChatGPT through Model Context Protocol (MCP), allowing users to build custom workflows.

Can I use QueryBox to deploy autonomous AI agents?

Yes, through QueryBox users can deploy autonomous AI agents to perform complex multi-step analysis, generate reports, and discover hidden patterns.

What is the purpose of the Retrieval-Augmented Generation in QueryBox?

The purpose of Retrieval-Augmented Generation in QueryBox is to enable semantic search across data, facilitating generation of meaningful insights even when the queries are fuzzy or not very clear.

How can I integrate QueryBox into my applications?

Users can integrate QueryBox into their applications through the programmatic access provided via REST API.

Does QueryBox support team collaboration?

Yes, QueryBox supports team collaboration. It allows users to share databases, queries, and insights with their team. It also provides role-based access control and audit logs for secure collaboration.

What features make QueryBox non tech user friendly?

QueryBox is non tech user friendly because users do not require any SQL or programming knowledge to use it. They can simply upload their Excel or CSV files and ask questions in plain English, and QueryBox's AI will generate the respective query and provide insights.

What is AI-powered query in terms of QueryBox function?

AI-powered query in terms of QueryBox's function refers to the system's ability to understand the user's intent expressed in simple English text and generate the suitable query automatically.

How are insights shared within a team using QueryBox?

In QueryBox, insights can be shared within a team by using the team collaboration features of the tool. It allows sharing of databases, queries, and insights. Role-based access control and audit logs ensure that the sharing happens in a secure manner.

Does the QueryBox offer role-based access control and audit logs?

Yes, QueryBox offers role-based access control and audit logs. These features ensure secure collaboration by managing access to different aspects of the system based on user roles and keeping a detailed record of all system access and operations.

Can I use QueryBox for patterns discovery in the data?

Yes, users can use QueryBox for patterns discovery in their data. QueryBox's advanced AI and autonomous agents can perform complex multi-step analysis to discover hidden patterns and generate reports.

What is the Model Context Protocol in QueryBox?

The Model Context Protocol in QueryBox facilitates seamless integration with various AI assistants. It is a system that supports building custom workflows.

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