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Class: HuggingFaceEmbedding

Uses feature extraction from '@xenova/transformers' to generate embeddings. Per default the model XENOVA_ALL_MINILM_L6_V2 is used.

Can be changed by setting the modelType parameter in the constructor, e.g.:

new HuggingFaceEmbedding({
modelType: HuggingFaceEmbeddingModelType.XENOVA_ALL_MPNET_BASE_V2,
});

Extends

Constructors

new HuggingFaceEmbedding()

new HuggingFaceEmbedding(init?): HuggingFaceEmbedding

Parameters

init?: Partial <HuggingFaceEmbedding>

Returns

HuggingFaceEmbedding

Overrides

BaseEmbedding . constructor

Source

packages/core/src/embeddings/HuggingFaceEmbedding.ts:28

Properties

embedBatchSize

embedBatchSize: number = DEFAULT_EMBED_BATCH_SIZE

Inherited from

BaseEmbedding . embedBatchSize

Source

packages/core/src/embeddings/types.ts:13


extractor

private extractor: any

Source

packages/core/src/embeddings/HuggingFaceEmbedding.ts:26


modelType

modelType: string = HuggingFaceEmbeddingModelType.XENOVA_ALL_MINILM_L6_V2

Source

packages/core/src/embeddings/HuggingFaceEmbedding.ts:23


quantized

quantized: boolean = true

Source

packages/core/src/embeddings/HuggingFaceEmbedding.ts:24

Methods

getExtractor()

getExtractor(): Promise<any>

Returns

Promise<any>

Source

packages/core/src/embeddings/HuggingFaceEmbedding.ts:33


getQueryEmbedding()

getQueryEmbedding(query): Promise<null | number[]>

Parameters

query: MessageContentDetail

Returns

Promise<null | number[]>

Inherited from

BaseEmbedding . getQueryEmbedding

Source

packages/core/src/embeddings/types.ts:25


getTextEmbedding()

getTextEmbedding(text): Promise<number[]>

Parameters

text: string

Returns

Promise<number[]>

Overrides

BaseEmbedding . getTextEmbedding

Source

packages/core/src/embeddings/HuggingFaceEmbedding.ts:43


getTextEmbeddings()

getTextEmbeddings(texts): Promise<number[][]>

Optionally override this method to retrieve multiple embeddings in a single request

Parameters

texts: string[]

Returns

Promise<number[][]>

Inherited from

BaseEmbedding . getTextEmbeddings

Source

packages/core/src/embeddings/types.ts:39


getTextEmbeddingsBatch()

getTextEmbeddingsBatch(texts, options?): Promise<number[][]>

Get embeddings for a batch of texts

Parameters

texts: string[]

options?

options.logProgress?: boolean

Returns

Promise<number[][]>

Inherited from

BaseEmbedding . getTextEmbeddingsBatch

Source

packages/core/src/embeddings/types.ts:55


similarity()

similarity(embedding1, embedding2, mode): number

Parameters

embedding1: number[]

embedding2: number[]

mode: SimilarityType= SimilarityType.DEFAULT

Returns

number

Inherited from

BaseEmbedding . similarity

Source

packages/core/src/embeddings/types.ts:15


transform()

transform(nodes, _options?): Promise <BaseNode <Metadata>[]>

Parameters

nodes: BaseNode <Metadata>[]

_options?: any

Returns

Promise <BaseNode <Metadata>[]>

Inherited from

BaseEmbedding . transform

Source

packages/core/src/embeddings/types.ts:69