**feat: introduce Optimized HNSW Index with product quantization and disk-based storage support**

### Changes:
- Added `HNSWIndexOptimized` class in `src/hnsw/hnswIndexOptimized.ts`:
  - Supports large datasets with product quantization for dimensionality reduction.
  - Enables disk-based index storage via a configurable storage adapter.
  - Introduces `HNSWOptimizedConfig` interface for advanced configuration:
    - Includes memory thresholds, product quantization (subvectors, centroids), and disk-based indexing options.
  - Implements methods for adding, searching, and managing indexed vectors with enhanced scalability.
- Introduced `ProductQuantizer` utility:
  - Handles vector quantization with training and reconstruction capabilities.
  - Reduces vector dimensions, improving memory and performance efficiency.
- Added accessor methods in `src/hnsw/hnswIndex.ts` for configuration and index metadata (e.g., dimension, max level, entry point).

### Purpose:
Enhanced the HNSW implementation to support optimized indexing and search for large datasets, addressing scalability challenges via product quantization and optional disk-based storage. This update elevates the library's performance and applicability for memory-constrained environments.
This commit is contained in:
David Snelling 2025-06-19 15:02:05 -07:00
parent 57880cfd06
commit 6f6f787bf1
3 changed files with 89 additions and 88 deletions

View file

@ -5,36 +5,36 @@
/**
* Vector representation - an array of numbers
*/
export type Vector = number[];
export type Vector = number[]
/**
* A document with a vector embedding and optional metadata
*/
export interface VectorDocument<T = any> {
id: string;
vector: Vector;
metadata?: T;
id: string
vector: Vector
metadata?: T
}
/**
* Search result with similarity score
*/
export interface SearchResult<T = any> {
id: string;
score: number;
vector: Vector;
metadata?: T;
id: string
score: number
vector: Vector
metadata?: T
}
/**
* Distance function for comparing vectors
*/
export type DistanceFunction = (a: Vector, b: Vector) => number;
export type DistanceFunction = (a: Vector, b: Vector) => number
/**
* Embedding function for converting data to vectors
*/
export type EmbeddingFunction = (data: any) => Promise<Vector>;
export type EmbeddingFunction = (data: any) => Promise<Vector>
/**
* Embedding model interface
@ -43,26 +43,26 @@ export interface EmbeddingModel {
/**
* Initialize the embedding model
*/
init(): Promise<void>;
init(): Promise<void>
/**
* Embed data into a vector
*/
embed(data: any): Promise<Vector>;
embed(data: any): Promise<Vector>
/**
* Dispose of the model resources
*/
dispose(): Promise<void>;
dispose(): Promise<void>
}
/**
* HNSW graph noun
*/
export interface HNSWNoun {
id: string;
vector: Vector;
connections: Map<number, Set<string>>; // level -> set of connected noun ids
id: string
vector: Vector
connections: Map<number, Set<string>> // level -> set of connected noun ids
}
/**
@ -70,63 +70,63 @@ export interface HNSWNoun {
* Extends HNSWNoun to allow verbs to be first-class entities in the data model
*/
export interface GraphVerb extends HNSWNoun {
sourceId: string; // ID of the source noun
targetId: string; // ID of the target noun
type?: string; // Optional type of the relationship
weight?: number; // Optional weight of the relationship
metadata?: any; // Optional metadata for the verb
sourceId: string // ID of the source noun
targetId: string // ID of the target noun
type?: string // Optional type of the relationship
weight?: number // Optional weight of the relationship
metadata?: any // Optional metadata for the verb
}
/**
* HNSW index configuration
*/
export interface HNSWConfig {
M: number; // Maximum number of connections per noun
efConstruction: number; // Size of the dynamic candidate list during construction
efSearch: number; // Size of the dynamic candidate list during search
ml: number; // Maximum level
M: number // Maximum number of connections per noun
efConstruction: number // Size of the dynamic candidate list during construction
efSearch: number // Size of the dynamic candidate list during search
ml: number // Maximum level
}
/**
* Storage interface for persistence
*/
export interface StorageAdapter {
init(): Promise<void>;
init(): Promise<void>
saveNoun(noun: HNSWNoun): Promise<void>;
saveNoun(noun: HNSWNoun): Promise<void>
getNoun(id: string): Promise<HNSWNoun | null>;
getNoun(id: string): Promise<HNSWNoun | null>
getAllNouns(): Promise<HNSWNoun[]>;
getAllNouns(): Promise<HNSWNoun[]>
/**
* Get nouns by noun type
* @param nounType The noun type to filter by
* @returns Promise that resolves to an array of nouns of the specified noun type
*/
getNounsByNounType(nounType: string): Promise<HNSWNoun[]>;
getNounsByNounType(nounType: string): Promise<HNSWNoun[]>
deleteNoun(id: string): Promise<void>;
deleteNoun(id: string): Promise<void>
saveVerb(verb: GraphVerb): Promise<void>;
saveVerb(verb: GraphVerb): Promise<void>
getVerb(id: string): Promise<GraphVerb | null>;
getVerb(id: string): Promise<GraphVerb | null>
getAllVerbs(): Promise<GraphVerb[]>;
getAllVerbs(): Promise<GraphVerb[]>
getVerbsBySource(sourceId: string): Promise<GraphVerb[]>;
getVerbsBySource(sourceId: string): Promise<GraphVerb[]>
getVerbsByTarget(targetId: string): Promise<GraphVerb[]>;
getVerbsByTarget(targetId: string): Promise<GraphVerb[]>
getVerbsByType(type: string): Promise<GraphVerb[]>;
getVerbsByType(type: string): Promise<GraphVerb[]>
deleteVerb(id: string): Promise<void>;
deleteVerb(id: string): Promise<void>
saveMetadata(id: string, metadata: any): Promise<void>;
saveMetadata(id: string, metadata: any): Promise<void>
getMetadata(id: string): Promise<any | null>;
getMetadata(id: string): Promise<any | null>
clear(): Promise<void>;
clear(): Promise<void>
/**
* Get information about storage usage and capacity
@ -136,21 +136,21 @@ export interface StorageAdapter {
/**
* The type of storage being used (e.g., 'filesystem', 'opfs', 'memory')
*/
type: string;
type: string
/**
* The amount of storage being used in bytes
*/
used: number;
used: number
/**
* The total amount of storage available in bytes, or null if unknown
*/
quota: number | null;
quota: number | null
/**
* Additional storage-specific information
*/
details?: Record<string, any>;
}>;
details?: Record<string, any>
}>
}

View file

@ -6,6 +6,8 @@
// Extend the FileSystemDirectoryHandle interface
interface FileSystemDirectoryHandle {
[Symbol.asyncIterator](): AsyncIterableIterator<[string, FileSystemHandle]>;
keys(): AsyncIterableIterator<string>;
entries(): AsyncIterableIterator<[string, FileSystemHandle]>;
}
// Export something to make this a module

View file

@ -28,7 +28,7 @@ export interface GraphNoun {
createdAt: Timestamp // When the noun was created
updatedAt: Timestamp // When the noun was last updated
label?: string // Optional descriptive label
data?: Record<string, unknown> // Additional flexible data storage
data?: Record<string, any> // Additional flexible data storage
embeddedVerbs?: EmbeddedGraphVerb[] // Optional embedded relationships
embedding?: number[] // Vector representation of the noun
}
@ -45,7 +45,7 @@ export interface GraphVerb {
verb: VerbType // Type of relationship
createdAt: Timestamp // When the verb was created
updatedAt: Timestamp // When the verb was last updated
data?: Record<string, unknown> // Additional flexible data storage
data?: Record<string, any> // Additional flexible data storage
embedding?: number[] // Vector representation of the relationship
confidence?: number // Confidence score (0-1)
weight?: number // Strength/importance of the relationship
@ -94,7 +94,6 @@ export interface Concept extends GraphNoun {
noun: typeof NounType.Concept
}
export interface Group extends GraphNoun {
noun: typeof NounType.Group
}