Part 6/11:

• Hallucination Mitigation: To prevent incorrect or hallucinated responses, multiple SQL queries are generated using techniques like self-consistency—running the model multiple times and voting on the most consistent output.

• Syntax Validation: An inline SQL syntax checker cleans up the generated SQL before execution to minimize errors.

• Execution: The final SQL query is dispatched to the database (e.g., Snowflake), and results are presented to the user.

Feedback Loop and Continuous Improvement

• Users can provide feedback via thumbs-up/down.

• Correct responses are added back into the QA pair repository, enabling the system to learn and improve over time.

• Monthly reviews help filter out inaccuracies and refine the model’s outputs.