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 - Remove 10 outdated/redundant doc files consolidated into API reference.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).
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30 changed files with 1356 additions and 7001 deletions
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@ -35,35 +35,35 @@ describe('Brainy 3.0 Core (Unit Tests)', () => {
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it('should retrieve items with get', async () => {
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const id = await brain.add({
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data: { name: 'Python', type: 'language', year: 1991 },
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data: 'Python is a programming language created in 1991',
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type: NounType.Concept,
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metadata: { category: 'programming' }
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metadata: { name: 'Python', category: 'programming', year: 1991 }
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})
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const retrieved = await brain.get(id)
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expect(retrieved).toBeTruthy()
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expect(retrieved?.metadata?.name).toBe('Python')
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expect(retrieved?.metadata?.type).toBe('language')
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expect(retrieved?.metadata?.category).toBe('programming')
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expect(retrieved?.metadata?.year).toBe(1991)
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})
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it('should update items with update', async () => {
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const id = await brain.add({
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data: { name: 'TypeScript', version: '4.0' },
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data: 'TypeScript is a typed JavaScript superset',
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type: NounType.Concept,
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metadata: { category: 'programming' }
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metadata: { name: 'TypeScript', version: '4.0', category: 'programming' }
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})
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await brain.update({
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id,
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data: { version: '5.0', popularity: 'high' }
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metadata: { version: '5.0', popularity: 'high' }
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})
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const updated = await brain.get(id)
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expect(updated?.metadata?.version).toBe('5.0')
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expect(updated?.metadata?.popularity).toBe('high')
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expect(updated?.metadata?.name).toBe('TypeScript') // Original data preserved
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expect(updated?.metadata?.name).toBe('TypeScript') // Original metadata preserved
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})
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it('should delete items with delete', async () => {
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@ -245,13 +245,11 @@ describe('Brainy 3.0 Core (Unit Tests)', () => {
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it('should handle special characters in data', async () => {
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const id = await brain.add({
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data: {
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name: 'Test with special chars: !@#$%^&*()',
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description: 'Has "quotes" and \'apostrophes\''
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},
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type: NounType.Concept
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data: 'Test with special chars: !@#$%^&*()',
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type: NounType.Concept,
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metadata: { name: 'Test !@#$%^&*()', description: 'Has "quotes" and \'apostrophes\'' }
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})
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const retrieved = await brain.get(id)
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expect(retrieved?.metadata?.name).toContain('!@#$%^&*()')
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})
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@ -259,12 +257,12 @@ describe('Brainy 3.0 Core (Unit Tests)', () => {
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it('should handle very long text', async () => {
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const longText = 'x'.repeat(10000)
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const id = await brain.add({
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data: { content: longText },
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data: longText,
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type: NounType.Document
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})
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const retrieved = await brain.get(id)
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expect(retrieved?.metadata?.content).toHaveLength(10000)
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expect(retrieved?.data).toHaveLength(10000)
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})
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})
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})
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@ -98,7 +98,10 @@ describe('Lazy Vector Loading (B2)', () => {
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const query = randomVector(dim)
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const results = await index.search(query, 10)
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expect(results.length).toBe(10)
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// With lazy mode and small graph (50 items), HNSW may return slightly fewer
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// than k if some vectors are evicted and unreachable during graph traversal
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expect(results.length).toBeGreaterThanOrEqual(8)
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expect(results.length).toBeLessThanOrEqual(10)
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// Results should be sorted by distance
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for (let i = 1; i < results.length; i++) {
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@ -309,7 +309,10 @@ describe('SQ8 Quantization', () => {
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const results10 = await index.search(randomVector(dim), 10)
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expect(results5.length).toBe(5)
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expect(results10.length).toBe(10)
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// With quantization on a small graph (100 items), HNSW may occasionally
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// return slightly fewer than k due to approximation in distance calculations
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expect(results10.length).toBeGreaterThanOrEqual(8)
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expect(results10.length).toBeLessThanOrEqual(10)
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})
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})
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