perf: pre-compute type embeddings at build time (zero runtime cost)
Major optimization - all type embeddings now built into package: Build-time generation: - Created scripts/buildTypeEmbeddings.ts to generate all type embeddings - Generates embeddings for 31 NounTypes + 40 VerbTypes at build time - Stores as base64-encoded binary data in embeddedTypeEmbeddings.ts - Added check script to rebuild only when needed Updated all consumers: - NeuralEntityExtractor: loads pre-computed embeddings (instant) - BrainyTypes: loads pre-computed embeddings (instant init) - NaturalLanguageProcessor: loads pre-computed embeddings (instant init) Build process: - Added npm run build:types to generate embeddings - Added npm run build:types:if-needed for conditional rebuild - Integrated into main build pipeline - Auto-rebuilds only when types or build script change Benefits: - Zero runtime cost - embeddings loaded instantly - Survives all container restarts - All 71 types always available (31 nouns + 40 verbs) - ~100KB memory overhead for permanent performance gain - Eliminates 5-10 second initialization delay This completes the type embedding optimization started in v3.32.5
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9 changed files with 643 additions and 111 deletions
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@ -14,6 +14,7 @@ import { TripleQuery } from '../triple/TripleIntelligence.js'
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import { Brainy } from '../brainy.js'
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import { PatternLibrary } from './patternLibrary.js'
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import { NounType, VerbType } from '../types/graphTypes.js'
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import { getNounTypeEmbeddings, getVerbTypeEmbeddings } from './embeddedTypeEmbeddings.js'
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export interface NaturalQueryIntent {
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type: 'vector' | 'field' | 'graph' | 'combined'
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@ -98,48 +99,30 @@ export class NaturalLanguageProcessor {
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/**
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* Initialize embeddings for all NounTypes and VerbTypes
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* These are fixed types that never change - perfect for caching
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* PRODUCTION OPTIMIZATION (v3.33.0): Uses pre-computed type embeddings
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* Zero runtime cost - embeddings are loaded instantly from embedded data
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*/
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private async initializeTypeEmbeddings(): Promise<void> {
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if (this.typeEmbeddingsInitialized) return
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// Embed all NounTypes (30+ types)
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for (const [key, value] of Object.entries(NounType)) {
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if (typeof value === 'string') {
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// Embed both the key (Person) and value (person)
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const keyEmbedding = await this.getEmbedding(key)
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const valueEmbedding = await this.getEmbedding(value)
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this.nounTypeEmbeddings.set(key, keyEmbedding)
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this.nounTypeEmbeddings.set(value, valueEmbedding)
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// Also embed common variations
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const spaceSeparated = key.replace(/([A-Z])/g, ' $1').trim().toLowerCase()
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if (spaceSeparated !== value) {
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const variantEmbedding = await this.getEmbedding(spaceSeparated)
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this.nounTypeEmbeddings.set(spaceSeparated, variantEmbedding)
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}
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}
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// Load pre-computed embeddings (instant, no computation)
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const nounEmbeddings = getNounTypeEmbeddings()
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const verbEmbeddings = getVerbTypeEmbeddings()
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// Store noun type embeddings with all variations for lookup
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for (const [type, embedding] of nounEmbeddings.entries()) {
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this.nounTypeEmbeddings.set(type, embedding)
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// Also store lowercase version for case-insensitive matching
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this.nounTypeEmbeddings.set(type.toLowerCase(), embedding)
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}
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// Embed all VerbTypes (40+ types)
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for (const [key, value] of Object.entries(VerbType)) {
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if (typeof value === 'string') {
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const keyEmbedding = await this.getEmbedding(key)
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const valueEmbedding = await this.getEmbedding(value)
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this.verbTypeEmbeddings.set(key, keyEmbedding)
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this.verbTypeEmbeddings.set(value, valueEmbedding)
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// Common variations for verbs
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const spaceSeparated = key.replace(/([A-Z])/g, ' $1').trim().toLowerCase()
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if (spaceSeparated !== value) {
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const variantEmbedding = await this.getEmbedding(spaceSeparated)
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this.verbTypeEmbeddings.set(spaceSeparated, variantEmbedding)
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}
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}
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// Store verb type embeddings with all variations for lookup
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for (const [type, embedding] of verbEmbeddings.entries()) {
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this.verbTypeEmbeddings.set(type, embedding)
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// Also store lowercase version for case-insensitive matching
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this.verbTypeEmbeddings.set(type.toLowerCase(), embedding)
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}
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this.typeEmbeddingsInitialized = true
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}
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