Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
Data Science
Towards Data Science·Aug 16·5 min read
Designing a Persistent Knowledge Layer That Refuses to Guess
TL;DR
A vendor-neutral framework was developed for creating a persistent knowledge layer that avoids making assumptions. This implementation utilizes Azure tools to enhance understanding in property insurance applications.
✦ Why It Matters
Implement this framework to improve data accuracy and decision-making in your property insurance applications today.
Key Takeaways
- Adopt a three-layer architecture for better knowledge management.
- Implement semantic caching to reduce costs and latency.
- Ensure all knowledge is traceable to original sources.
- Design for contradiction handling to improve response reliability.
How It Works
The architecture consists of three layers: the evidence layer retrieves relevant documents, the knowledge layer maintains accumulated insights and relationships, and the orchestrator determines which layer to query based on the question type. This structure allows the system to build a coherent understanding over time, rather than treating each query as isolated.