Securely connect your databases and query in plain English. Get dramatically more accurate results for complex enterprise schemas.
Three core capabilities that deliver enterprise-grade accuracy where traditional text-to-SQL tools fall short.
Our semantic layer uses FalkorDB's graph capabilities to understand your database relationships at a deeper level. This means more accurate joins, better constraint handling, and SQL that actually reflects your business logic.
Built entirely on FalkorDB as an open source project. You can examine exactly how we're doing text-to-SQL conversion, contribute improvements, or adapt the system for your specific enterprise requirements.
Using Graphiti for chat history and agentic memory, powered by FalkorDB. QueryWeaver remembers your previous queries, learns your data patterns, and provides increasingly personalized results over time.
QueryWeaver is an open-source, graph-powered Text-to-SQL solution designed for enterprise databases. It transforms natural language questions into accurate SQL queries by understanding your database schema's complex relationships.
You can start by trying our live demo or by deploying it yourself from our GitHub repository. It securely connects to your MySQL or PostgreSQL databases, allowing you to query them using plain English.
Yes, QueryWeaver is open-source and free to use. You can find the source code on GitHub and contribute to its development or adapt it for your specific needs.
QueryWeaver uses FalkorDB's graph capabilities to create a semantic layer that understands your database relationships. It then leverages LLMs and agentic memory to provide highly accurate SQL generation, even for complex enterprise schemas.
