Designing a Persistent Knowledge Layer That Refuses to Guess

Towards Data Science published a vendor-neutral blueprint for building a persistent knowledge layer that refuses to guess, addressing the limitation that RAG retrieves but never remembers. The article includes a complete Azure-native implementation using Microsoft Foundry, Azure AI Search, Cosmos DB, and FastAPI, mapped to a property-insurance corpus.

Designing a Persistent Knowledge Layer That Refuses to Guess 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 Lay 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. Key Takeaways - •RAG Retrieves, It Never Remembers - •This story was reported by Towards Data Science , covering developments in the newsletter space. - •AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage. 📖 Continue reading the full article: Read Full Article on Towards Data Science → https://towardsdatascience.com/designing-a-persistent-knowledge-layer-that-refuses-to-guess/