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

• BaseEmbedding

Constructors

new HuggingFaceEmbedding()

new HuggingFaceEmbedding(init?): HuggingFaceEmbedding

Parameters

• init?: Partial <HuggingFaceEmbedding>

Returns

HuggingFaceEmbedding

Overrides

BaseEmbedding . constructor

Source

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

Properties

embedBatchSize

embedBatchSize: number = DEFAULT_EMBED_BATCH_SIZE

Inherited from

BaseEmbedding . embedBatchSize

Source

packages/llamaindex/src/embeddings/types.ts:21

---

embedInfo?

optional embedInfo: EmbeddingInfo

Inherited from

BaseEmbedding . embedInfo

Source

packages/llamaindex/src/embeddings/types.ts:22

---

extractor

private extractor: any

Source

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

---

modelType

modelType: string = HuggingFaceEmbeddingModelType.XENOVA_ALL_MINILM_L6_V2

Source

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

---

quantized

quantized: boolean = true

Source

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

Methods

getExtractor()

getExtractor(): Promise<any>

Returns

Promise<any>

Source

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

---

getQueryEmbedding()

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

Parameters

• query: MessageContentDetail

Returns

Promise<null | number[]>

Inherited from

BaseEmbedding . getQueryEmbedding

Source

packages/llamaindex/src/embeddings/types.ts:34

---

getTextEmbedding()

getTextEmbedding(text): Promise<number[]>

Parameters

• text: string

Returns

Promise<number[]>

Overrides

BaseEmbedding . getTextEmbedding

Source

packages/llamaindex/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/llamaindex/src/embeddings/types.ts:48

---

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/llamaindex/src/embeddings/types.ts:64

---

similarity()

similarity(embedding1, embedding2, mode): number

Parameters

• embedding1: number[]

• embedding2: number[]

• mode: SimilarityType= SimilarityType.DEFAULT

Returns

number

Inherited from

BaseEmbedding . similarity

Source

packages/llamaindex/src/embeddings/types.ts:24

---

transform()

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

Parameters

• nodes: BaseNode <Metadata>[]

• _options?: any

Returns

Promise <BaseNode <Metadata>[]>

Inherited from

BaseEmbedding . transform

Source

packages/llamaindex/src/embeddings/types.ts:78

---

truncateMaxTokens()

truncateMaxTokens(input): string[]

Parameters

• input: string[]

Returns

string[]

Inherited from

BaseEmbedding . truncateMaxTokens

Source

packages/llamaindex/src/embeddings/types.ts:90