During early Proof-of-Concept (PoC) phases, engineering teams frequently rely on specialized, point-solution vector databases like Pinecone, Qdrant, or Chroma. Their value proposition at this stage is undeniable: simple APIs, fast initial integration, and rapid prototyping for AI applications like Retrieval-Augmented Generation (RAG). However, as AI projects move from small-scale pilots