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Class: MixedbreadAIEmbeddings()

Class for generating embeddings using the mixedbread ai API.

This class leverages the model "mixedbread-ai/mxbai-embed-large-v1" to generate embeddings for text documents. The embeddings can be used for various NLP tasks such as similarity comparison, clustering, or as features in machine learning models.

Examples​

const mxbai = new MixedbreadAIEmbeddings({ apiKey: 'your-api-key' });
const texts = ["Baking bread is fun", "I love baking"];
const result = await mxbai.getTextEmbeddings(texts);
console.log(result);
const mxbai = new MixedbreadAIEmbeddings({
 apiKey: 'your-api-key',
 model: 'mixedbread-ai/mxbai-embed-large-v1',
 encodingFormat: MixedbreadAI.EncodingFormat.Binary,
 dimensions: 512,
 normalized: true,
});
const query = "Represent this sentence for searching relevant passages: Is baking bread fun?";
const result = await mxbai.getTextEmbedding(query);
console.log(result);

Extends​

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

Class for generating embeddings using the mixedbread ai API.

This class leverages the model "mixedbread-ai/mxbai-embed-large-v1" to generate embeddings for text documents. The embeddings can be used for various NLP tasks such as similarity comparison, clustering, or as features in machine learning models.

Type Parameters​

• Options extends Record<string, unknown>

Parameters​

• nodes: BaseNode<Metadata>[]

• options?: Options

Returns​

Promise<BaseNode<Metadata>[]>

Examples​

const mxbai = new MixedbreadAIEmbeddings({ apiKey: 'your-api-key' });
const texts = ["Baking bread is fun", "I love baking"];
const result = await mxbai.getTextEmbeddings(texts);
console.log(result);
const mxbai = new MixedbreadAIEmbeddings({
 apiKey: 'your-api-key',
 model: 'mixedbread-ai/mxbai-embed-large-v1',
 encodingFormat: MixedbreadAI.EncodingFormat.Binary,
 dimensions: 512,
 normalized: true,
});
const query = "Represent this sentence for searching relevant passages: Is baking bread fun?";
const result = await mxbai.getTextEmbedding(query);
console.log(result);

Defined in​

packages/llamaindex/src/embeddings/MixedbreadAIEmbeddings.ts:81

Constructors​

new MixedbreadAIEmbeddings()​

new MixedbreadAIEmbeddings(params?): MixedbreadAIEmbeddings

Constructor for MixedbreadAIEmbeddings.

Parameters​

• params?: Partial<MixedbreadAIEmbeddingsParams>

An optional object with properties to configure the instance.

Returns​

MixedbreadAIEmbeddings

Throws​

If the API key is not provided or found in the environment variables.

Throws​

If the batch size exceeds 256.

Overrides​

BaseEmbedding.constructor

Defined in​

packages/llamaindex/src/embeddings/MixedbreadAIEmbeddings.ts:92

Properties​

embedBatchSize​

embedBatchSize: number

Inherited from​

BaseEmbedding.embedBatchSize

Defined in​

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

embedInfo?​

optional embedInfo: EmbeddingInfo

Inherited from​

BaseEmbedding.embedInfo

Defined in​

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

id​

id: string

Inherited from​

BaseEmbedding.id

Defined in​

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

requestOptions​

requestOptions: RequestOptions

Defined in​

packages/llamaindex/src/embeddings/MixedbreadAIEmbeddings.ts:83

requestParams​

requestParams: EmbeddingsRequestWithoutInput

Defined in​

packages/llamaindex/src/embeddings/MixedbreadAIEmbeddings.ts:82

Methods​

getQueryEmbedding()​

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

Parameters​

• query: MessageContentDetail

Returns​

Promise<null | number[]>

Inherited from​

BaseEmbedding.getQueryEmbedding

Defined in​

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

getTextEmbedding()​

getTextEmbedding(text): Promise<number[]>

Generates an embedding for a single text.

Parameters​

• text: string

A string to generate an embedding for.

Returns​

Promise<number[]>

A Promise that resolves to an array of numbers representing the embedding.

Example​

const query = "Represent this sentence for searching relevant passages: Is baking bread fun?";
const result = await mxbai.getTextEmbedding(text);
console.log(result);

Overrides​

BaseEmbedding.getTextEmbedding

Defined in​

packages/llamaindex/src/embeddings/MixedbreadAIEmbeddings.ts:150

getTextEmbeddings()​

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

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

Parameters​

• texts: string[]

An array of strings to generate embeddings for.

Returns​

Promise<number[][]>

A Promise that resolves to an array of embeddings.

Example​

const texts = ["Baking bread is fun", "I love baking"];
const result = await mxbai.getTextEmbeddings(texts);
console.log(result);

Overrides​

BaseEmbedding.getTextEmbeddings

Defined in​

packages/llamaindex/src/embeddings/MixedbreadAIEmbeddings.ts:164

getTextEmbeddingsBatch()​

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

Get embeddings for a batch of texts

Parameters​

• texts: string[]

• options?: BaseEmbeddingOptions

Returns​

Promise<number[][]>

Inherited from​

BaseEmbedding.getTextEmbeddingsBatch

Defined in​

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

similarity()​

similarity(embedding1, embedding2, mode?): number

Parameters​

• embedding1: number[]

• embedding2: number[]

• mode?: SimilarityType

Returns​

number

Inherited from​

BaseEmbedding.similarity

Defined in​

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

truncateMaxTokens()​

truncateMaxTokens(input): string[]

Parameters​

• input: string[]

Returns​

string[]

Inherited from​

BaseEmbedding.truncateMaxTokens

Defined in​

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