Twenty-One Documents and a Weak Reject: Building a Research Corpus for a Novel Search Architecture\n

Every vector search system you have ever used assumes the same thing: that someone already ran every document through an embedding model and stored the results. For most workloads, that assumption is fine. For some, it is fatal. Forensic seizure of 5...