How to use OmniSQL for SQL query in practice?

2025-08-27

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The main steps for actual SQL query generation using OmniSQL are as follows.

Preparing the prompt template:: Contains mission statement, database engine, database schema, user questions and guidelines
Loading Models: Initialize tokenizer and LLM instances according to the chosen model path (e.g., "seeklhy/OmniSQL-7B").
Setting Sampling Parameters: e.g. temperature=0 to ensure deterministic output, max_tokens=2048 to give sufficient generation length
Application Chat Templates:: Organize user questions in a specific format
Generating Queries: Call the generate method of the model to get the output

Database schema used in the sample operation.

CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT, age INTEGER);

In response to the question "Find the names of people older than 30 in the users table", the SQL generated by OmniSQL might be.

SELECT name FROM users WHERE age > 30;

In practice, it is important to note that.

The database engine declaration should be the same as the actual (default is SQLite)
The design of the prompt template directly affects the quality of generation
For complex queries, COT (Chain-of-Thought) can be enabled to guide the model to think step-by-step

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