Designing a Persistent Knowledge Layer That Refuses to Guess
中文摘要
针对 RAG 无法记忆的问题，本文提出了构建持久化知识层的厂商中立蓝图，并提供 Azure 原生实现方案，助力应用积累深层理解。
English Summary
Addressing RAG's lack of memory, this article proposes a vendor-neutral blueprint for persistent knowledge layers, providing an Azure-native implementation to help applications build cumulative understanding.
Original Excerpt
RAG Retrieves, It Never Remembers. A vendor-neutral blueprint for applications that accumulate understanding. Includes a complete Azure-native implementation (Microsoft Foundry, Azure AI Search, Cosmos DB, FastAPI) mapped to a property-insurance corpus. The post Designing a Persistent Knowledge Layer That Refuses to Guess appeared first on Towards Data Science.