refactor(8.0): rename HNSWIndex class → JsHnswVectorIndex (scaffold step 3)

Step 3 of the brainy 8.0 rename scaffolding. The class name now matches
its role: the JS HNSW implementation of the VectorIndexProvider contract.
Per planning § 2.3: this is NOT cosmetic — leaving HNSWIndex when the
public contract is VectorIndexProvider creates a confusing read at the
implementation layer.

CHANGES

Repo-wide mechanical rename: HNSWIndex → JsHnswVectorIndex across 52
references in src/ + 5 references in tests/ via sed. Class declaration,
imports, JSDoc, comments, and identifiers all updated.

src/index.ts
- Primary public export: JsHnswVectorIndex (the new name).
- Backwards-compat alias: `export const HNSWIndex = JsHnswVectorIndex`
  with @deprecated note. Removed in the final 8.0 cleanup commit.

NO-OP scope

No behavioural change. The class is exactly the same; only the name
moved. Tests + build green.

VERIFICATION

- npx tsc --noEmit: clean
- npm test: 1468 / 1468 unit
This commit is contained in:
David Snelling 2026-06-09 13:07:56 -07:00
parent 8f87b35614
commit f39d420cb4
11 changed files with 80 additions and 70 deletions

View file

@ -6,8 +6,8 @@
*/
import { v4 as uuidv4 } from './universal/uuid.js'
import { HNSWIndex } from './hnsw/hnswIndex.js'
// TypeAwareHNSWIndex removed from default path — single unified HNSWIndex is faster
import { JsHnswVectorIndex } from './hnsw/hnswIndex.js'
// TypeAwareHNSWIndex removed from default path — single unified JsHnswVectorIndex is faster
// for the 99% of queries that don't filter by type (avoids searching 42 separate graphs)
import { createStorage } from './storage/storageFactory.js'
import { BaseStorage } from './storage/baseStorage.js'
@ -156,7 +156,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
private static instances: Brainy[] = []
// Core components
private index!: HNSWIndex
private index!: JsHnswVectorIndex
private storage!: BaseStorage
private metadataIndex!: MetadataIndexManager
private graphIndex!: GraphAdjacencyIndex
@ -606,8 +606,8 @@ export class Brainy<T = any> implements BrainyInterface<T> {
// Wire the mmap-vector backend (2.4.0 #2). When the vectorStore:mmap
// provider is registered AND the storage adapter resolves a real local
// path via getBinaryBlobPath(), open the mmap file there and inject the
// backend into HNSWIndex. Cloud adapters return null and skip silently;
// HNSWIndex's behaviour is then identical to pre-2.4.0 (per-entity reads
// backend into JsHnswVectorIndex. Cloud adapters return null and skip silently;
// JsHnswVectorIndex's behaviour is then identical to pre-2.4.0 (per-entity reads
// from canonical storage). Failures are non-fatal — the index still
// works, just without the zero-copy fast path.
await this.wireMmapVectorBackend()
@ -8324,7 +8324,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
* @param candidateIds Optional pre-resolved metadata filter IDs for metadata-first search.
* When provided, HNSW search is restricted to these candidates:
* - NativeHNSWWrapper: uses native searchWithCandidates (Rust bitmap filtering)
* - JS HNSWIndex: converts to filter function with O(1) Set lookups
* - JS JsHnswVectorIndex: converts to filter function with O(1) Set lookups
*/
private async executeVectorSearch(params: FindParams<T>, candidateIds?: string[]): Promise<Result<T>[]> {
const vector = params.vector || (await this.embed(params.query!))
@ -9070,7 +9070,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
* - Cloud storage (GCS/S3/R2/Azure): 'deferred' for 30-50x faster adds
* - Local storage (FileSystem/Memory/OPFS): 'immediate' (already fast)
*/
private setupIndex(): HNSWIndex {
private setupIndex(): JsHnswVectorIndex {
const indexConfig = {
...this.config.index,
distanceFunction: this.distance,
@ -9085,7 +9085,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
const persistMode = this.resolveHNSWPersistMode()
return new HNSWIndex(indexConfig as any, this.distance, {
return new JsHnswVectorIndex(indexConfig as any, this.distance, {
storage: this.storage,
useParallelization: true,
persistMode
@ -9106,11 +9106,11 @@ export class Brainy<T = any> implements BrainyInterface<T> {
* - The metadata index has a stable `idMapper`.
* - `config.index.type !== 'hnsw'` (no explicit opt-out).
* 3. `'hnsw'` provider if registered (cortex's native HNSW).
* 4. Brainy's built-in TS HNSWIndex (the always-available fallback).
* 4. Brainy's built-in TS JsHnswVectorIndex (the always-available fallback).
*
* See ADR-002 in the cortex repo for the engagement rationale.
*/
private createIndex(): HNSWIndex {
private createIndex(): JsHnswVectorIndex {
const persistMode = this.resolveHNSWPersistMode()
const indexType = (this.config.index as any)?.type as 'hnsw' | 'diskann' | undefined
@ -9170,7 +9170,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
private instantiateDiskAnn(
factory: (config: any, distance: DistanceFunction, options: any) => any,
persistMode: 'immediate' | 'deferred'
): HNSWIndex {
): JsHnswVectorIndex {
const storageWithBlob = this.storage as unknown as {
getBinaryBlobPath?: (key: string) => string | null
}
@ -9377,7 +9377,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
}
/**
* @description Open the mmap-vector backend and inject it into HNSWIndex.
* @description Open the mmap-vector backend and inject it into JsHnswVectorIndex.
* Called once during init after plugin activation, metadataIndex init, and
* graphIndex setup so the idMapper is available and providers are wired.
*
@ -9397,7 +9397,7 @@ export class Brainy<T = any> implements BrainyInterface<T> {
* (or a re-open) sees the correct value.
*
* Failures here are non-fatal: a debug-level log records the reason, and
* HNSWIndex continues without the mmap fast path.
* JsHnswVectorIndex continues without the mmap fast path.
*/
private async wireMmapVectorBackend(): Promise<void> {
const provider = this.pluginRegistry.getProvider<VectorStoreMmapProvider>('vectorStore:mmap')

View file

@ -31,10 +31,10 @@ const DEFAULT_CONFIG: HNSWConfig = {
/**
* Implements {@link VectorIndexProvider}: the vector-index surface Brainy calls
* on whatever the `'vector'` factory returns (its own `HNSWIndex`, or a native
* on whatever the `'vector'` factory returns (its own `JsHnswVectorIndex`, or a native
* acceleration provider).
*/
export class HNSWIndex implements VectorIndexProvider {
export class JsHnswVectorIndex implements VectorIndexProvider {
private nouns: Map<string, HNSWNoun> = new Map()
private entryPointId: string | null = null
private maxLevel = 0
@ -71,7 +71,7 @@ export class HNSWIndex implements VectorIndexProvider {
// COW (Copy-on-Write) support
private cowEnabled: boolean = false
private cowModifiedNodes: Set<string> = new Set()
private cowParent: HNSWIndex | null = null
private cowParent: JsHnswVectorIndex | null = null
// Deferred HNSW persistence for cloud storage performance
// In deferred mode, HNSW connections are only persisted on flush/close
@ -130,7 +130,7 @@ export class HNSWIndex implements VectorIndexProvider {
* Lifecycle: brainy.ts wires this after plugin activation when (a) the
* `vectorStore:mmap` provider is registered AND (b) the storage adapter
* resolves a real local path via `getBinaryBlobPath()`. Cloud adapters
* leave it null; HNSWIndex's behaviour is then identical to pre-2.4.0.
* leave it null; JsHnswVectorIndex's behaviour is then identical to pre-2.4.0.
*/
public setVectorBackend(backend: MmapVectorBackend | null): void {
this.vectorBackend = backend
@ -340,10 +340,10 @@ export class HNSWIndex implements VectorIndexProvider {
*
* @example
* ```typescript
* const parent = new HNSWIndex(config)
* const parent = new JsHnswVectorIndex(config)
* // ... parent has 1M nodes ...
*
* const fork = new HNSWIndex(config)
* const fork = new JsHnswVectorIndex(config)
* fork.enableCOW(parent) // <10ms - instant!
*
* // Reads share data
@ -353,7 +353,7 @@ export class HNSWIndex implements VectorIndexProvider {
* await fork.addItem(newItem) // Deep copies only modified nodes
* ```
*/
public enableCOW(parent: HNSWIndex): void {
public enableCOW(parent: JsHnswVectorIndex): void {
this.cowEnabled = true
this.cowParent = parent

View file

@ -1,10 +1,10 @@
/**
* @module hnsw/mmapVectorBackend
* @description Disk-resident vector cache backing HNSWIndex, wrapping the
* @description Disk-resident vector cache backing JsHnswVectorIndex, wrapping the
* `vectorStore:mmap` provider (cortex's NativeMmapVectorStore in production).
*
* **Why this exists.** Brainy's per-entity vector storage hits two ceilings as
* datasets grow: (1) every `HNSWIndex.preloadVectors` does a sequential
* datasets grow: (1) every `JsHnswVectorIndex.preloadVectors` does a sequential
* `storage.getNounVector` per id (no batch), and (2) cloud and FS storage both
* serialize each vector through JSON / msgpack, blocking zero-copy reads. An
* mmap-backed single-file vector store, addressed by the stable int from
@ -20,7 +20,7 @@
*
* **Local-FS only in 2.4.0.** Activated when the storage adapter exposes a
* real local path via `getBinaryBlobPath()`. Cloud adapters (S3 / R2 / GCS)
* return null and the backend is not constructed, so HNSWIndex falls back to
* return null and the backend is not constructed, so JsHnswVectorIndex falls back to
* the existing per-entity read path. Chunked vector segments for remote
* storage are the planned 2.4.0 #2 follow-up.
*/
@ -38,7 +38,7 @@ import type {
* @description Bridge between brainy's UUID-keyed vector API and cortex's
* int-slot mmap vector store. Translates UUIDs to stable int slots via the
* `EntityIdMapper`, grows the file on demand, and handles read misses by
* surfacing `null` (HNSWIndex's caller does the lazy storage fallback +
* surfacing `null` (JsHnswVectorIndex's caller does the lazy storage fallback +
* write-back). The class never touches per-entity storage directly it owns
* only the mmap layer.
*/

View file

@ -7,13 +7,13 @@
* - Storage: Already type-first from Phase 1a
*
* Architecture:
* - One HNSWIndex per NounType (42 total)
* - One JsHnswVectorIndex per NounType (42 total)
* - Lazy initialization (indexes created on first use)
* - Type routing for optimal performance
* - Falls back to multi-type search when type unknown
*/
import { HNSWIndex } from './hnswIndex.js'
import { JsHnswVectorIndex } from './hnswIndex.js'
import {
DistanceFunction,
HNSWConfig,
@ -25,7 +25,7 @@ import { euclideanDistance } from '../utils/index.js'
import type { BaseStorage } from '../storage/baseStorage.js'
import { prodLog } from '../utils/logger.js'
// Default HNSW parameters (same as HNSWIndex)
// Default HNSW parameters (same as JsHnswVectorIndex)
const DEFAULT_CONFIG: HNSWConfig = {
M: 16,
efConstruction: 200,
@ -58,7 +58,7 @@ export interface TypeAwareHNSWStats {
*/
export class TypeAwareHNSWIndex {
// One HNSW index per noun type (lazy initialization)
private indexes: Map<NounType, HNSWIndex> = new Map()
private indexes: Map<NounType, JsHnswVectorIndex> = new Map()
// Configuration
private config: HNSWConfig
@ -105,7 +105,7 @@ export class TypeAwareHNSWIndex {
// Enable COW on each underlying type-specific index
for (const [type, parentIndex] of parent.indexes.entries()) {
const childIndex = new HNSWIndex(this.config, this.distanceFunction, {
const childIndex = new JsHnswVectorIndex(this.config, this.distanceFunction, {
useParallelization: this.useParallelization,
storage: this.storage || undefined,
persistMode: this.persistMode
@ -183,9 +183,9 @@ export class TypeAwareHNSWIndex {
* Only types with entities get an index.
*
* @param type The noun type
* @returns HNSWIndex for this type
* @returns JsHnswVectorIndex for this type
*/
private getIndexForType(type: NounType): HNSWIndex {
private getIndexForType(type: NounType): JsHnswVectorIndex {
// Validate type is a valid NounType
const typeIndex = TypeUtils.getNounIndex(type)
if (typeIndex === undefined || typeIndex === null || typeIndex < 0) {
@ -197,7 +197,7 @@ export class TypeAwareHNSWIndex {
if (!this.indexes.has(type)) {
prodLog.info(`Creating HNSW index for type: ${type}`)
const index = new HNSWIndex(this.config, this.distanceFunction, {
const index = new JsHnswVectorIndex(this.config, this.distanceFunction, {
useParallelization: this.useParallelization,
storage: this.storage || undefined,
persistMode: this.persistMode

View file

@ -296,10 +296,20 @@ import type {
StorageAdapter
} from './coreTypes.js'
// Export HNSW index
import { HNSWIndex } from './hnsw/hnswIndex.js'
// Export vector index implementation (the JS HNSW path)
import { JsHnswVectorIndex } from './hnsw/hnswIndex.js'
export { HNSWIndex }
export { JsHnswVectorIndex }
/**
* @deprecated Renamed to {@link JsHnswVectorIndex} in Brainy 8.0. The
* implementation is unchanged the new name disambiguates the JS HNSW
* path from any native vector-index provider (DiskANN, etc.) that may be
* loaded via the `'vector'` provider key. This alias is provided as a
* compatibility shim for code mid-migration and is removed in the 8.0
* final cleanup commit.
*/
export const HNSWIndex = JsHnswVectorIndex
export type {
Vector,

View file

@ -62,7 +62,7 @@ export interface BrainyPluginContext {
* - 'graphIndex' GraphAdjacencyIndex replacement
* - 'entityIdMapper' EntityIdMapper replacement
* - 'cache' UnifiedCache replacement
* - 'hnsw' HNSWIndex replacement
* - 'hnsw' JsHnswVectorIndex replacement
* - 'roaring' RoaringBitmap32 replacement
* - 'embeddings' Embedding engine replacement (single text)
* - 'embedBatch' Batch embedding engine (texts[] vectors[])
@ -88,7 +88,7 @@ export interface BrainyPluginContext {
// (Cortex) that declares `implements MetadataIndexProvider` gets a compile
// error the moment a method Brainy depends on is dropped or its signature
// drifts. Brainy's own baseline classes (`MetadataIndexManager`,
// `GraphAdjacencyIndex`, `HNSWIndex`, `EntityIdMapper`, `UnifiedCache`)
// `GraphAdjacencyIndex`, `JsHnswVectorIndex`, `EntityIdMapper`, `UnifiedCache`)
// implement them too, so the contract can never silently diverge from the
// thing Brainy ships.
//
@ -281,11 +281,11 @@ export interface CacheProvider {
* connection lists as compact delta-varint byte sequences (cortex's
* `encodeConnections` / `decodeConnections`).
*
* Brainy's `HNSWIndex` consumes this via a `ConnectionsCodec` that translates
* Brainy's `JsHnswVectorIndex` consumes this via a `ConnectionsCodec` that translates
* UUIDs to stable int slots via the `EntityIdMapper`, encodes, and persists
* the compressed bytes through the binary-blob primitive. On load, the blob
* is fetched + decoded back into UUID sets `setConnectionsCodec()` on
* `HNSWIndex` is the injection point. Read path is dual-format: when no blob
* `JsHnswVectorIndex` is the injection point. Read path is dual-format: when no blob
* exists for a node, the connections fall back to the legacy JSON-array path
* embedded in `saveHNSWData`, so pre-2.4.0 indexes keep loading unchanged
* and convergence to the compressed form happens lazily on next save.
@ -304,7 +304,7 @@ export interface GraphCompressionProvider {
/**
* The `'vectorStore:mmap'` provider a static factory class for an mmap-backed
* vector file. Brainy's HNSWIndex uses the static `.create()` / `.open()`
* vector file. Brainy's JsHnswVectorIndex uses the static `.create()` / `.open()`
* factories to open a single-file store at a derived path on disk-resident
* storage adapters; non-FS adapters with no local-path support skip the mmap
* layer and fall back to per-entity vector reads.
@ -325,7 +325,7 @@ export interface VectorStoreMmapProvider {
}
/**
* An open mmap-vector-store instance the surface brainy's HNSWIndex consumes
* An open mmap-vector-store instance the surface brainy's JsHnswVectorIndex consumes
* for batch vector reads + lazy migration from per-entity storage on miss.
*/
export interface VectorStoreMmapInstance {

View file

@ -2,14 +2,14 @@
* Index Operations with Rollback Support
*
* Provides transactional operations for all indexes:
* - HNSWIndex (unified vector index)
* - JsHnswVectorIndex (unified vector index)
* - MetadataIndexManager (roaring bitmap filtering)
* - GraphAdjacencyIndex (LSM-tree graph storage)
*
* Each operation can be executed and rolled back atomically.
*/
import type { HNSWIndex } from '../../hnsw/hnswIndex.js'
import type { JsHnswVectorIndex } from '../../hnsw/hnswIndex.js'
import type { MetadataIndexManager } from '../../utils/metadataIndex.js'
import type { GraphAdjacencyIndex } from '../../graph/graphAdjacencyIndex.js'
import type { GraphVerb } from '../../coreTypes.js'
@ -21,13 +21,13 @@ import type { Operation, RollbackAction } from '../types.js'
* Rollback strategy:
* - Remove item from index
*
* Note: Works with both HNSWIndex and TypeAwareHNSWIndex
* Note: Works with both JsHnswVectorIndex and TypeAwareHNSWIndex
*/
export class AddToHNSWOperation implements Operation {
readonly name = 'AddToHNSW'
constructor(
private readonly index: HNSWIndex,
private readonly index: JsHnswVectorIndex,
private readonly id: string,
private readonly vector: number[]
) {}
@ -76,7 +76,7 @@ export class RemoveFromHNSWOperation implements Operation {
readonly name = 'RemoveFromHNSW'
constructor(
private readonly index: HNSWIndex,
private readonly index: JsHnswVectorIndex,
private readonly id: string,
private readonly vector: number[] // Required for rollback
) {}
@ -211,7 +211,7 @@ export class BatchAddToHNSWOperation implements Operation {
private operations: AddToHNSWOperation[]
constructor(
index: HNSWIndex,
index: JsHnswVectorIndex,
items: Array<{ id: string; vector: number[] }>
) {
this.operations = items.map(

View file

@ -13,7 +13,7 @@
* - Fusion: O(k log k) where k = result count
*/
import { HNSWIndex } from '../hnsw/hnswIndex.js'
import { JsHnswVectorIndex } from '../hnsw/hnswIndex.js'
import { MetadataIndexManager } from '../utils/metadataIndex.js'
import { Vector } from '../coreTypes.js'
import { NounType } from '../types/graphTypes.js'
@ -230,7 +230,7 @@ class QueryPlanner {
*/
export class TripleIntelligenceSystem {
private metadataIndex: MetadataIndexManager
private hnswIndex: HNSWIndex
private hnswIndex: JsHnswVectorIndex
private graphIndex: GraphAdjacencyIndex
private metrics: PerformanceMetrics
private planner: QueryPlanner
@ -239,7 +239,7 @@ export class TripleIntelligenceSystem {
constructor(
metadataIndex: MetadataIndexManager,
hnswIndex: HNSWIndex,
hnswIndex: JsHnswVectorIndex,
graphIndex: GraphAdjacencyIndex,
embedder: (text: string) => Promise<Vector>,
storage: any

View file

@ -11,7 +11,7 @@
import { prodLog } from './logger.js'
import { DELETED_FIELD, isDeleted } from './metadataNamespace.js'
import type { StorageAdapter } from '../coreTypes.js'
import type { HNSWIndex } from '../hnsw/hnswIndex.js'
import type { JsHnswVectorIndex } from '../hnsw/hnswIndex.js'
import type { MetadataIndexManager } from './metadataIndex.js'
export interface CleanupConfig {
@ -44,7 +44,7 @@ export interface CleanupStats {
*/
export class PeriodicCleanup {
private storage: StorageAdapter
private hnswIndex: HNSWIndex
private hnswIndex: JsHnswVectorIndex
private metadataIndex: MetadataIndexManager | null
private config: CleanupConfig
private stats: CleanupStats
@ -53,7 +53,7 @@ export class PeriodicCleanup {
constructor(
storage: StorageAdapter,
hnswIndex: HNSWIndex,
hnswIndex: JsHnswVectorIndex,
metadataIndex: MetadataIndexManager | null,
config: Partial<CleanupConfig> = {}
) {

View file

@ -11,7 +11,7 @@
import { describe, it, expect, beforeEach } from 'vitest'
import { v4 as uuidv4 } from 'uuid'
import { HNSWIndex } from '../../../src/hnsw/hnswIndex.js'
import { JsHnswVectorIndex } from '../../../src/hnsw/hnswIndex.js'
import { euclideanDistance } from '../../../src/utils/index.js'
import { MemoryStorage } from '../../../src/storage/adapters/memoryStorage.js'
@ -43,12 +43,12 @@ describe('Lazy Vector Loading (B2)', () => {
// 1. LAZY MODE: VECTOR EVICTION
// =================================================================
describe('vector eviction in lazy mode', () => {
let index: HNSWIndex
let index: JsHnswVectorIndex
let storage: MemoryStorage
beforeEach(async () => {
storage = new MemoryStorage()
index = new HNSWIndex(
index = new JsHnswVectorIndex(
{
M: 8,
efConstruction: 100,
@ -116,7 +116,7 @@ describe('Lazy Vector Loading (B2)', () => {
describe('memory mode retains vectors (default)', () => {
it('should keep vectors in memory by default', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{ M: 4, efConstruction: 50, efSearch: 20 },
euclideanDistance,
{ useParallelization: false, storage }
@ -135,7 +135,7 @@ describe('Lazy Vector Loading (B2)', () => {
it('should work without storage adapter in memory mode', async () => {
// No storage adapter provided
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{ M: 4, efConstruction: 50, efSearch: 20 },
euclideanDistance,
{ useParallelization: false }
@ -157,7 +157,7 @@ describe('Lazy Vector Loading (B2)', () => {
describe('lazy mode without storage', () => {
it('should not evict vectors when no storage adapter is configured', async () => {
// vectorStorage: 'lazy' but no storage — vectors should stay in memory
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{
M: 4,
efConstruction: 50,
@ -185,7 +185,7 @@ describe('Lazy Vector Loading (B2)', () => {
describe('lazy mode with quantization', () => {
it('should use SQ8 for traversal and load full vectors for rerank', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{
M: 8,
efConstruction: 100,
@ -221,7 +221,7 @@ describe('Lazy Vector Loading (B2)', () => {
it('should return results sorted by exact distance after rerank', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{
M: 8,
efConstruction: 100,
@ -257,7 +257,7 @@ describe('Lazy Vector Loading (B2)', () => {
describe('multiple searches in lazy mode', () => {
it('should handle repeated searches correctly', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{
M: 8,
efConstruction: 100,

View file

@ -21,7 +21,7 @@ import {
serializeSQ8,
deserializeSQ8
} from '../../../src/utils/vectorQuantization.js'
import { HNSWIndex } from '../../../src/hnsw/hnswIndex.js'
import { JsHnswVectorIndex } from '../../../src/hnsw/hnswIndex.js'
import { euclideanDistance } from '../../../src/utils/index.js'
import { MemoryStorage } from '../../../src/storage/adapters/memoryStorage.js'
@ -286,14 +286,14 @@ describe('SQ8 Quantization', () => {
// 4. HNSW SEARCH WITH QUANTIZATION
// =================================================================
describe('HNSW search with quantization', () => {
let index: HNSWIndex
let index: JsHnswVectorIndex
let storage: MemoryStorage
const dim = 32 // Small dimension for fast tests
let ids: string[]
beforeEach(async () => {
storage = new MemoryStorage()
index = new HNSWIndex(
index = new JsHnswVectorIndex(
{
M: 8,
efConstruction: 100,
@ -365,7 +365,7 @@ describe('SQ8 Quantization', () => {
describe('two-phase rerank', () => {
it('should accept rerank options in search', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{
M: 8,
efConstruction: 100,
@ -399,7 +399,7 @@ describe('SQ8 Quantization', () => {
it('reranked results should be sorted by exact distance', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{
M: 8,
efConstruction: 100,
@ -432,7 +432,7 @@ describe('SQ8 Quantization', () => {
describe('configuration defaults', () => {
it('should disable quantization by default', async () => {
const storage = new MemoryStorage()
const defaultIndex = new HNSWIndex(
const defaultIndex = new JsHnswVectorIndex(
{ M: 4, efConstruction: 50, efSearch: 20 },
euclideanDistance,
{ useParallelization: false, storage }
@ -456,7 +456,7 @@ describe('SQ8 Quantization', () => {
it('should use default rerankMultiplier of 3', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{
M: 4,
efConstruction: 50,
@ -480,7 +480,7 @@ describe('SQ8 Quantization', () => {
it('should default vectorStorage to memory mode', async () => {
const storage = new MemoryStorage()
const index = new HNSWIndex(
const index = new JsHnswVectorIndex(
{ M: 4, efConstruction: 50, efSearch: 20 },
euclideanDistance,
{ useParallelization: false, storage }