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The AI Database Assistant That Runs On Your Machine

An assistant that reads your schema, writes the query, runs it read-only and shows you exactly what it did — with no rows leaving your network.

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What is an AI database assistant?

An AI database assistant is a tool that turns a plain-English question into SQL, runs it against your database and returns the answer with the query it used. SQLore is an offline-first AI database assistant for PostgreSQL and MySQL: it introspects your schema, generates read-only SQL, and runs the whole loop on a local model unless you opt into a live one.

What separates an assistant from an autocomplete

Editor autocomplete finishes the line you are already writing. An assistant answers a question you have not worked out how to ask in SQL yet — which means it has to do three things autocomplete never does: find the right tables in a schema it was not trained on, run the query, and read the result well enough to notice when it is wrong.

  • It resolves the question against your actual schema, not a generic model of one.
  • It executes, so an answer is rows rather than a query you still have to verify.
  • It retries: a bad join shows up in the result, and it fixes it before you see anything.
  • It shows the SQL, so the answer is checkable rather than trusted.

Why the schema is the hard part

Any current model can write syntactically valid SQL. Almost none can write correct SQL against a two-thousand-table warehouse it has never seen, because correctness is a question about your schema and not about SQL. SQLore introspects the database once and caches what it finds — tables, columns, keys, distinct values and statistics — then searches that index locally before a single token of SQL is generated. That is why a filter lands on the column that actually holds the value.

What an assistant should never be allowed to do

Write. There is no question worth answering that requires an UPDATE, and an assistant with write access is one hallucinated statement away from an incident. SQLore parses generated SQL to an abstract syntax tree and validates it down to a single read-only SELECT before it goes near your database, then executes it on a read-only connection with a statement timeout. That is a parser, not a blocklist of dangerous words — the distinction matters, because a blocklist is a list of the strings someone thought of.

Offline is a posture, not a feature toggle

Most assistants in this category are a web app with a form for your connection string, which means your credentials and your schema live on someone else's server. SQLore is a desktop application: the credentials stay on your machine, the query runs from your machine, and with a local model configured, nothing leaves your network at all. Live cloud models are something you switch on for a hard question, not something you have to find and switch off.

Frequently asked questions

What is the difference between an AI database assistant and a SQL generator?

A SQL generator returns a query and stops. An assistant runs the query against your database, reads the result, and corrects itself when the result shows the query was wrong. The practical difference is who checks the work: with a generator it is you, every time.

Do I need to be a SQL developer to use one?

No, but you need to be able to recognise a wrong answer. SQLore shows the query, the row count and the execution time with every result precisely so that a non-specialist has something to sanity-check against, and a specialist can read the SQL directly.

Is an AI database assistant safe to point at a production database?

It is safe if it cannot write and cannot run long. SQLore validates every generated statement to a single read-only SELECT and executes it on a read-only connection with a statement timeout. Pointing it at a read-only replica with a read-only role is still the configuration we recommend, because two independent guarantees are better than one.

More answers on the main FAQ, or ask us directly.

Related

For people who already write SQL

An AI SQL Assistant That Shows Its Working

Read more

The technique

Natural Language To SQL, Done Against A Real Schema

Read more

Local models

A Local AI Database Assistant, Model Included

Read more

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