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Class: OpenAIEmbedding

Extends

Extended by

Constructors

new OpenAIEmbedding()

new OpenAIEmbedding(init?): OpenAIEmbedding

OpenAI Embedding

Parameters

init?: Partial <OpenAIEmbedding> & object

initial parameters

Returns

OpenAIEmbedding

Overrides

BaseEmbedding . constructor

Source

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

Properties

additionalSessionOptions?

optional additionalSessionOptions: Omit<Partial<ClientOptions>, "apiKey" | "timeout" | "maxRetries">

other session options for OpenAI

Source

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


apiKey?

optional apiKey: string = undefined

api key

Source

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts:44


dimensions

dimensions: undefined | number

number of dimensions of the resulting vector, for models that support choosing fewer dimensions. undefined will default to model default

Source

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts:39


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

maximum number of retries, default 10

Source

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts:46


model

model: string

embeddding model. defaults to "text-embedding-ada-002"

Source

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts:37


session

session: OpenAISession

session object

Source

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


timeout?

optional timeout: number

timeout in ms, default 60 seconds

Source

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

Methods

getOpenAIEmbedding()

private getOpenAIEmbedding(input): Promise<number[][]>

Get embeddings for a batch of texts

Parameters

input: string[]

Returns

Promise<number[][]>

Source

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts:118


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[]>

Get embeddings for a single text

Parameters

text: string

Returns

Promise<number[]>

Overrides

BaseEmbedding . getTextEmbedding

Source

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts:143


getTextEmbeddings()

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

Get embeddings for a batch of texts

Parameters

texts: string[]

Returns

Promise<number[][]>

Overrides

BaseEmbedding . getTextEmbeddings

Source

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts:135


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