Part 10/12:

The solution involved integrating grounding services with multiple data sources—product details, FAQs, reviews—which progressively improved response relevance. Additionally, an intent classifier was developed to route specific queries (e.g., order status) to the appropriate internal systems, integrating an initial form of what is now called agentic abstraction.

Ensuring Safety and Quality

Moderation services played a crucial role in filtering out inappropriate prompts or responses, especially to avoid offensive language or irrelevant queries. Meanwhile, evaluation services constantly monitored and tested the responses’ quality, enabling human oversight and the ability to compare multiple models for performance—an essential feature given the rapidly evolving landscape of LLMs.