We analyzed the fundamental architectural flaw in today's cloud vector database paradigm: the hard dependency on RAM. This design forces platforms with massive data volumes (e.g., millions of video frames, billions of RAG documents) into a financially unsustainable cost curve. We propose that the shift to an O(k) architecture, leveraging mmap storage, is the only way to break this scaling ceiling.

How do you think this could benefit LLM’s?