Queryweaver

Created By

FalkorDB7 months ago

An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.

# text2sql

# semantic-layer

Overview Content Tools Comments

Overview

what is QueryWeaver?

QueryWeaver is an open-source Text2SQL tool that transforms natural language questions into SQL queries using graph-powered schema understanding, allowing users to interact with databases in plain English.

how to use QueryWeaver?

To use QueryWeaver, you can run it via Docker, connect to the REST API, or use the provided Swagger UI for documentation. Simply ask your database questions in natural language, and QueryWeaver will generate the corresponding SQL queries.

key features of QueryWeaver?

Converts natural language questions into SQL queries.
Graph-powered schema understanding for accurate query generation.
REST API for integration with other applications.
Support for Model Context Protocol (MCP) for enhanced functionality.

use cases of QueryWeaver?

Business analysts querying databases without SQL knowledge.
Developers integrating natural language processing into applications.
Data scientists exploring datasets using natural language queries.

FAQ from QueryWeaver?

Can QueryWeaver handle complex SQL queries?

Yes! QueryWeaver is designed to understand and convert complex natural language queries into SQL.

Is QueryWeaver free to use?

Yes! QueryWeaver is an open-source tool and is free to use.

How can I contribute to QueryWeaver?

You can contribute by reporting issues, suggesting features, or submitting pull requests on the GitHub repository.

Server Config

{
  "mcpServers": {
    "queryweaver": {
      "type": "http",
      "url": "https://app.queryweaver.ai/mcp",
      "headers": {
        "Authorization": "Bearer your_token_here"
      }
    }
  },
  "inputs": []
}

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