DataWhisper

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DataWhisper is an open-source, agent-based framework that converts natural language questions into optimized SQL queries. By leveraging modular AI agents, it connects to various database engines, validates syntax, and applies optimizations. Users can interact through a CLI or Python API to generate, review, and execute queries without writing SQL manually. Its plugin architecture allows integration of custom LLMs, parsers, and database drivers.
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May 07 2025
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DataWhisper

DataWhisper

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0
DataWhisper
DataWhisper is an open-source, agent-based framework that converts natural language questions into optimized SQL queries. By leveraging modular AI agents, it connects to various database engines, validates syntax, and applies optimizations. Users can interact through a CLI or Python API to generate, review, and execute queries without writing SQL manually. Its plugin architecture allows integration of custom LLMs, parsers, and database drivers.
Added on:
Social & Email:
Platform:
May 07 2025
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What is DataWhisper?

DataWhisper uses a modular agent-based architecture to parse natural language questions, generate precise SQL queries, and execute them across diverse database systems. It incorporates conversational AI agents that handle context, error checking, and optimization, enabling users to retrieve insights without writing SQL manually. With a plugin interface, DataWhisper can integrate custom parsers, database drivers, and LLM backends, making it extensible for enterprise analytics, reporting, and interactive data-driven applications. It simplifies workflows by automating repetitive tasks, supports multiple SQL dialects including MySQL, PostgreSQL, and SQLite, and logs query histories for audit compliance. Agents communicate with mainstream LLM APIs, offer error handling and real-time feedback, and can be integrated into web services or chatbots via RESTful endpoints.

Who will use DataWhisper?

  • Data analysts
  • Business intelligence developers
  • Data engineers
  • Software engineers

How to use the DataWhisper?

  • Step1: Clone the GitHub repository from https://github.com/pablosierrafernandez/DataWhisper-Agent-Based-Architecture-for-Text-to-SQL
  • Step2: Install dependencies via pip install -r requirements.txt
  • Step3: Configure your database connection settings in config.yaml
  • Step4: Initialize the DataWhisper agent with your LLM API key
  • Step5: Submit natural language queries through the provided CLI or Python API
  • Step6: Review and execute the generated SQL against your database
  • Step7: Extend functionality by adding custom agents or database plugins

Platform

  • mac
  • windows
  • linux

DataWhisper's Core Features & Benefits

The Core Features

  • Agent-based natural language to SQL translation
  • Support for multiple SQL dialects (MySQL, PostgreSQL, SQLite)
  • Configurable LLM backends
  • Plugin architecture for custom agents
  • Automated query validation and optimization

The Benefits

  • Accelerates query generation
  • Reduces SQL syntax errors
  • Simplifies data analysis for non-technical users
  • Extensible to custom use cases
  • Integrates seamlessly with existing databases

DataWhisper's Main Use Cases & Applications

  • Interactive BI dashboards
  • Automated report generation
  • Chatbot interfaces for data access
  • Prototyping data-driven applications
  • Data exploration and ad-hoc querying

FAQs of DataWhisper

DataWhisper Company Information

DataWhisper Reviews

5/5
Do You Recommend DataWhisper? Leave a Comment Below!

DataWhisper's Main Competitors and alternatives?

  • LangChain SQL Database Chain
  • Microsoft Semantic Kernel
  • SQLova
  • OpenAI function calling with SQL
  • Text2SQL academic frameworks

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