SQLBot

SQLBot is an intelligent question answering system from Feizhi Cloud. It pairs large models with RAG technology to turn plain questions into data analysis, so you type what you want to know instead of writing a query. You connect your own built-in informations, configure them to your setup, and then ask questions through an interface or an API. Results can come back as charts and reports rather than raw rows, which makes them easier to read in a meeting. It is described as a free open source project, and it ships with documentation, tutorial videos and a community channel where you can reach the developers directly.

- Ask questions in natural language against connected data

- Connect multiple built-in informations with flexible configuration

- Generate charts and reports for visualisation

- Apply security controls over what the system can reach

- Train custom question and answer pairs to fit your schema

- Learn from the documentation, tutorial videos and community

- Data analysts who want a faster path to a first answer

- Product managers and business users without SQL skills

- Teams that want a self hosted, open source option

- Organisations that need to keep data inside their own environment

Because it is open source and self hosted, you carry the setup, hosting and maintenance work yourself, and upgrades between versions need care. Natural language translation depends on how clearly your schema and field names are described, so vague column names produce vague answers. Always check a generated chart against the underlying data before you present it, particularly when numbers drive a decision. As with any open source project, activity levels and release cadence can change over time.