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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