Part 4/12:

• The diverse, multi-domain datasets had inconsistent schemas, complicating query generation.

• Noisy schemas and extensive documentation meant schema enrichment was essential for accurate SQL translation.

This user-centric approach, grounded in design thinking, informed the initial proof of concept (PoC), which was rapidly developed and iteratively refined based on actual user interactions.

Addressing Core Challenges

The team identified several critical challenges:

• Handling vast, noisy schemas with multiple tables and views.

• Ensuring consistent, accurate responses despite ambiguity and schema complexity.

• Enabling the system to learn from its errors and successes.

• Balancing performance (latency and cost) with explainability and reliability.