Ideas Weave Every Narrative with AI.
Traditional vector databases are failing complex AI agents by destroying structural context and burning tokens. OpenViking shifts the paradigm from blind semantic matching to a navigable, human-like file system with L0/L1/L2 layered loading, giving developers observable retrieval and unified memory.
The RAG hype cycle is a generational knowledge gap. Veterans see a renamed search engine with extra steps, while newcomers see a revolutionary pattern. The real value isn’t RAG itself, but the abstraction layer that lets non-search engineers leverage information retrieval without inverted indexes—and that abstraction is both the gift and the trap.
For up to one million documents, brute-force search with plain NumPy is faster, cheaper, and simpler than a vector database. The hype around vector DBs has convinced developers to over-engineer for scale they don’t have. Start simple, and only migrate when your brute-force script actually breaks.