Skip to main content

Class: TogetherEmbedding()

Extends​

TogetherEmbedding<Options>(nodes, options?): Promise<BaseNode<Metadata>[]>

Type Parameters​

• Options extends Record<string, unknown>

Parameters​

• nodes: BaseNode<Metadata>[]

• options?: Options

Returns​

Promise<BaseNode<Metadata>[]>

Defined in​

packages/llamaindex/src/embeddings/together.ts:4

Constructors​

new TogetherEmbedding()​

new TogetherEmbedding(init?): TogetherEmbedding

Parameters​

• init?: Omit<Partial<OpenAIEmbedding>, "session">

Returns​

TogetherEmbedding

Overrides​

OpenAIEmbedding.constructor

Defined in​

packages/llamaindex/src/embeddings/together.ts:5

Properties​

additionalSessionOptions?​

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

other session options for OpenAI

Inherited from​

OpenAIEmbedding.additionalSessionOptions

Defined in​

packages/llm/openai/dist/index.d.ts:50

apiKey?​

optional apiKey: string

api key

Inherited from​

OpenAIEmbedding.apiKey

Defined in​

packages/llm/openai/dist/index.d.ts:44

dimensions?​

optional dimensions: number

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

Inherited from​

OpenAIEmbedding.dimensions

Defined in​

packages/llm/openai/dist/index.d.ts:42

embedBatchSize​

embedBatchSize: number

Inherited from​

OpenAIEmbedding.embedBatchSize

Defined in​

packages/core/embeddings/dist/index.d.ts:34

embedInfo?​

optional embedInfo: EmbeddingInfo

Inherited from​

OpenAIEmbedding.embedInfo

Defined in​

packages/core/embeddings/dist/index.d.ts:35

getTextEmbeddings()​

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

Get embeddings for a batch of texts

Parameters​

• texts: string[]

Returns​

Promise<number[][]>

Inherited from​

OpenAIEmbedding.getTextEmbeddings

Defined in​

packages/llm/openai/dist/index.d.ts:71

id​

id: string

Inherited from​

OpenAIEmbedding.id

Defined in​

packages/core/schema/dist/index.d.ts:171

lazySession()​

lazySession: () => Promise<LLMInstance$1>

Returns​

Promise<LLMInstance$1>

Inherited from​

OpenAIEmbedding.lazySession

Defined in​

packages/llm/openai/dist/index.d.ts:51

maxRetries​

maxRetries: number

maximum number of retries, default 10

Inherited from​

OpenAIEmbedding.maxRetries

Defined in​

packages/llm/openai/dist/index.d.ts:46

model​

model: string

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

Inherited from​

OpenAIEmbedding.model

Defined in​

packages/llm/openai/dist/index.d.ts:40

timeout?​

optional timeout: number

timeout in ms, default 60 seconds

Inherited from​

OpenAIEmbedding.timeout

Defined in​

packages/llm/openai/dist/index.d.ts:48

Accessors​

session​

get session(): Promise<LLMInstance$1>

Returns​

Promise<LLMInstance$1>

Inherited from​

OpenAIEmbedding.session

Defined in​

packages/llm/openai/dist/index.d.ts:52

Methods​

getQueryEmbedding()​

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

Parameters​

• query: MessageContentDetail

Returns​

Promise<null | number[]>

Inherited from​

OpenAIEmbedding.getQueryEmbedding

Defined in​

packages/core/embeddings/dist/index.d.ts:39

getTextEmbedding()​

getTextEmbedding(text): Promise<number[]>

Get embeddings for a single text

Parameters​

• text: string

Returns​

Promise<number[]>

Inherited from​

OpenAIEmbedding.getTextEmbedding

Defined in​

packages/llm/openai/dist/index.d.ts:76

getTextEmbeddingsBatch()​

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

Get embeddings for a batch of texts

Parameters​

• texts: string[]

• options?: BaseEmbeddingOptions

Returns​

Promise<number[][]>

Inherited from​

OpenAIEmbedding.getTextEmbeddingsBatch

Defined in​

packages/core/embeddings/dist/index.d.ts:50

similarity()​

similarity(embedding1, embedding2, mode?): number

Parameters​

• embedding1: number[]

• embedding2: number[]

• mode?: SimilarityType

Returns​

number

Inherited from​

OpenAIEmbedding.similarity

Defined in​

packages/core/embeddings/dist/index.d.ts:37

truncateMaxTokens()​

truncateMaxTokens(input): string[]

Parameters​

• input: string[]

Returns​

string[]

Inherited from​

OpenAIEmbedding.truncateMaxTokens

Defined in​

packages/core/embeddings/dist/index.d.ts:51