brain.get() returns metadata only by default (includeVectors: false) for speed;
the vector is fetched via get(id, { includeVectors: true }). The neural API's
clustering, similarity, and vector-conversion helpers called get() without it,
so every entity came back with vector: [] — _getItemsWithVectors filtered them
all out, leaving k-means++ to dereference an empty array ("Cannot read
properties of undefined (reading 'vector')"). neural.clusters() was effectively
non-functional, and similarity-by-id silently scored 0.
- Pass { includeVectors: true } at the 8 vector-consuming get() call sites
(similarity, _convertToVector, _getItemsWith{Vectors,Metadata}, cluster
membership + quality scoring).
- Guard k-means against an empty item set (return an empty result, never crash).
"cluster entities semantically" passes. (includeVFS clustering + vfs.move have a
separate VFS-vector-dimension issue, tracked in .strategy.)
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|---|---|---|
| .. | ||
| aggregation | ||
| cli | ||
| db | ||
| embeddings | ||
| errors | ||
| graph | ||
| hnsw | ||
| import | ||
| importers | ||
| indexes/columnStore | ||
| integrations | ||
| mcp | ||
| migration | ||
| neural | ||
| patterns | ||
| storage | ||
| streaming | ||
| transaction | ||
| triple | ||
| types | ||
| universal | ||
| utils | ||
| vfs | ||
| brainy.ts | ||
| coreTypes.ts | ||
| index.ts | ||
| internals.ts | ||
| plugin.ts | ||
| setup.ts | ||
| unified.ts | ||