Part 7/11:

Technical Highlights and Innovations

• Data Masking: Names of entities like plants or vendors are replaced with generic terms (e.g., "supplier") to avoid bias and aid similarity matching.

• Parameterization: Configuration settings such as similarity thresholds and number of example prompts are dynamically adjustable per solution area.

• Multi-Table and Multi-Solution Handling: The system scales to handle multiple database tables, with intelligent agents deciding which tables to query based on the nature of the question.

• Multi-Response Voting: Generating multiple SQL queries per question adds robustness, with voting mechanisms to select the best query.