TLDR Tech / Data
Beyond the Vector Store: Building the Full Data Layer for AI Applications
Relying solely on a vector database is no longer sufficient for production AI applications, especially RAG, and agentic systems. A complete AI data layer requires five integrated components: vector store, metadata & filtering, graph layer, cache, and governance & observability, making hybrid architectures (vector + graph + relational) essential for achieving better accuracy, lower cost, and true production readiness.
Read the full story