SurrealDB 3.0 wants to replace your five-database RAG stack with one
via venturebeat.com
Short excerpt below. Read at the original source.
Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has also become increasingly clear that agentic AI systems need memory, sometimes referred to as contextual memory, to operate effectively. The complexity and synchronization of having different data layers […]