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Class: DeepInfraEmbedding

DeepInfraEmbedding is an alias for DeepInfra that implements the BaseEmbedding interface.

Extends​

Constructors​

new DeepInfraEmbedding()​

new DeepInfraEmbedding(init?): DeepInfraEmbedding

Parameters​

• init?: Partial <DeepInfraEmbedding>

Returns​

DeepInfraEmbedding

Overrides​

BaseEmbedding . constructor

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:76

Properties​

apiToken​

apiToken: string

DeepInfra API token

See​

https://deepinfra.com/dash/api_keys If not provided, it will try to get the token from the environment variable DEEPINFRA_API_TOKEN

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:50

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

maxRetries​

maxRetries: number

Default​

5

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:68

model​

model: string

DeepInfra model to use

Default​

"sentence-transformers/clip-ViT-B-32"

See​

https://deepinfra.com/models/embeddings

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:42

queryPrefix​

queryPrefix: string

Prefix to add to the query

Default​

""

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:56

textPrefix​

textPrefix: string

Prefix to add to the text

Default​

""

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:62

timeout​

timeout: number

Default​

60 * 1000

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:74

Methods​

getDeepInfraEmbedding()​

private getDeepInfraEmbedding(inputs): Promise<number[][]>

Parameters​

• inputs: string[]

Returns​

Promise<number[][]>

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:116

getQueryEmbedding()​

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

Parameters​

• query: MessageContentDetail

Returns​

Promise<null | number[]>

Overrides​

BaseEmbedding . getQueryEmbedding

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:93

getQueryEmbeddings()​

getQueryEmbeddings(queries): Promise<number[][]>

Parameters​

• queries: string[]

Returns​

Promise<number[][]>

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:111

getTextEmbedding()​

getTextEmbedding(text): Promise<number[]>

Parameters​

• text: string

Returns​

Promise<number[]>

Overrides​

BaseEmbedding . getTextEmbedding

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:87

getTextEmbeddings()​

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

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

Parameters​

• texts: string[]

Returns​

Promise<number[][]>

Overrides​

BaseEmbedding . getTextEmbeddings

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:106

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

getUrl()​

private getUrl(model): string

Parameters​

• model: string

Returns​

string

Source​

packages/llamaindex/src/embeddings/DeepInfraEmbedding.ts:149

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