Chat With Your Database

Chat With Your Database is an AI chat bot tool. An open source web app that connects to a Postgres database and lets you query, analyze and run operations in natural language, with the AI translating questions into queries and summarizing the results.

Chat With Your Database is an open source web app that puts a natural language layer on top of a Postgres database. Instead of writing SQL by hand or bouncing between a client and a spreadsheet, you type a question about your data and the tool walks through a four stage loop: it interprets the question, generates the matching query, runs that query against the connected database, and then reads the results back to you as insights rather than raw rows. The homepage frames the scope wider than reading alone, describing the ability to query, analyze and even run operations from a single interface. The target user is anyone who owns or works near a Postgres instance but does not want to hand off every question to an analyst. That includes developers exploring an unfamiliar schema, founders checking numbers without opening a SQL console, and small teams that want a conversational front end to data they already hold. Because the product is database first rather than document first, it is a poor match for warehouses or engines outside Postgres; the marketing copy names Postgres specifically and nothing else. In practice the workflow is short. You sign in through the login page, connect a database, and start asking questions. The AI handles translation and execution, then summarizes what came back, so the value shows up in the time between a question and a usable answer. The choice of open source matters here: the code is public under the MIT license, so a technical team can inspect exactly how queries are generated or fork the project and adapt it. That transparency is the main differentiator against closed chat-to-SQL products, which usually ask you to trust a black box with production credentials. Where it fits among alternatives is the lightweight, self-hostable end of the text-to-SQL market. It is not a BI platform, and it is not a general assistant that happens to know some SQL. It is a focused bridge between a person and a Postgres database, and the open repository means the ceiling on customization is your own engineering time rather than a vendor roadmap.