feat: enforce data/metadata separation, numeric range queries, improved docs

- Store data opaquely in add() and update() instead of spreading object
  properties into top-level metadata. data is for semantic search (HNSW),
  metadata is for structured where-filter queries (MetadataIndex).
- Fix numeric range queries in MetadataIndex — use numeric-aware comparison
  instead of lexicographic string comparison for normalized values.
- Add data field to RelateParams and Relation types for relationship content.
- Add where.type → where.noun alias in metadata-only find() path.
- Rewrite README: focused ~350 lines from 791, quick start first, feature
  showcase with mini-snippets, organized doc links, no version callouts.
- Add DATA_MODEL.md and QUERY_OPERATORS.md reference docs.
- Remove 10 outdated/redundant doc files consolidated into API reference.
- Improve JSDoc on Entity, Relation, AddParams, FindParams, and core methods.
- Fix tests asserting data properties appear in metadata (data model violation).
- Deprecate verb.source/target in favor of from/to (public) and sourceId/targetId (storage).

src/neural/embeddedTypeEmbeddings.ts

@@ -2,7 +2,7 @@
  * 🧠 BRAINY EMBEDDED TYPE EMBEDDINGS
  *
  * AUTO-GENERATED - DO NOT EDIT
- * Generated: 2026-01-27T21:46:03.408Z
+ * Generated: 2026-02-09T16:59:48.867Z
  * Noun Types: 42
  * Verb Types: 127
  *
@@ -19,7 +19,7 @@ export const TYPE_METADATA = {
   verbTypes: 127,
   totalTypes: 169,
   embeddingDimensions: 384,
-  generatedAt: "2026-01-27T21:46:03.408Z",
+  generatedAt: "2026-02-09T16:59:48.867Z",
   sizeBytes: {
     embeddings: 259584,
     base64: 346112