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Text-to-SQL agentində öz-özünü düzəltmə necə işləyirdi?
sobes.tech Süni İntellekt
AI-dan cavab
Self-correction in the Text-to-SQL agent is a mechanism where the agent analyzes the generated SQL query and, if it detects errors or inconsistencies, attempts to correct them automatically without user intervention. This is usually implemented in several stages:
- Generating the SQL query based on the input text.
- Checking the syntax and semantics of the query (for example, using a parser or attempting to execute the query on a test database).
- If an error is found, the agent uses internal rules or additional hints to adjust the query.
- Repeated verification and, if necessary, repeating the cycle.
Example: the agent generated a query with an incorrect table name. When attempting to execute the query, it receives an error. The agent analyzes the error, corrects the table name, and retries the query.
This approach improves the quality and reliability of automatic SQL generation from natural language.