David Snelling
c6cc0de955
A zero-norm vector is lawful inside brainy (cosine distance scores it at maximum, never a false top hit) but a false attractor for a downstream engine serving squared-euclidean distance, which cannot tell a real all-zero vector apart from a legitimate origin point. - The VFS root now persists with vector [] (the existing "unvectored" shape) instead of a real all-zero 384-dim placeholder, and is never routed into the deferred-embed pipeline. - A one-time migration in the root-init path detects a pre-fix store's all-zero placeholder root (by norm, not length) and rewrites it to [] through a new sanctioned Brainy method that keeps the canonical vectored-noun ledger honest and removes the row from the vector index. - The vector-index write seam (AddToVectorIndexOperation, ReplaceInVectorIndexOperation, and the generation materializer's direct insert) now refuses any real all-zero vector before it reaches a provider, loudly naming the entity, while the canonical write still lands. - add()'s dimension-pinning and HNSW-insert gates, and the add-params validator, now treat any empty vector as carrying no dimension information, closing a latent trap where an explicit `vector: []` would have pinned dimensions to 0. |
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| .. | ||
| importers | ||
| semantic | ||
| streams | ||
| MimeTypeDetector.ts | ||
| PathResolver.ts | ||
| TreeUtils.ts | ||
| types.ts | ||
| VirtualFileSystem.ts | ||