> For the complete documentation index, see [llms.txt](https://docs.wisej.com/ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wisej.com/ai/components/api/services/iembeddinggenerationservice/wisej.ai.services.defaultembeddinggenerationservice.md).

# DefaultEmbeddingGenerationService

Namespace: **Wisej.AI.Services**

Assembly: **Wisej.AI** (3.5.0.0)

Represents a service that provides functionality to generate embeddings for given text inputs using a [SmartEndpoint](/ai/components/api/smartendpoint.md)

{% tabs %}
{% tab title="C#" %}

```csharp
public class DefaultEmbeddingGenerationService : IEmbeddingGenerationService
```

{% endtab %}

{% tab title="VB.NET" %}

```visual-basic
Public Class DefaultEmbeddingGenerationService
    Inherits IEmbeddingGenerationService
```

{% endtab %}
{% endtabs %}

## Constructors

### ![](/files/ptrKjmmRoQB76pvrIqh0) DefaultEmbeddingGenerationService(endpoint, vectorSize)

Initializes a new instance of the [DefaultEmbeddingGenerationService](/ai/components/api/services/iembeddinggenerationservice/wisej.ai.services.defaultembeddinggenerationservice.md) class with the specified endpoint and vector size.

| Name           | Type                                                        | Description                                                                                                                                                                          |
| -------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| **endpoint**   | [SmartEndpoint](/ai/components/api/smartendpoint.md)        | The endpoint used for embedding generation. If not specified, defaults to a new instance of [OpenAIEndpoint](/ai/components/api/smartendpoint/wisej.ai.endpoints.openaiendpoint.md). |
| **vectorSize** | [Int32](https://docs.microsoft.com/dotnet/api/system.int32) | The size of the embedding vector. Default is 1536, which corresponds to the size for "text-embedding-3-small".                                                                       |

## Properties

### ![](/files/ptrKjmmRoQB76pvrIqh0) Endpoint

[SmartEndpoint](/ai/components/api/smartendpoint.md): Gets or sets the default endpoint used for generating embeddings. (Default: `Wisej.AI.Endpoints.OpenAIEndpoint`)

### ![](/files/ptrKjmmRoQB76pvrIqh0) MaxArraySize

[Int32](https://docs.microsoft.com/dotnet/api/system.int32): Gets or sets the maximum number of text chunks that can be sent as an array to the provider. (Default: `512`)

### ![](/files/ptrKjmmRoQB76pvrIqh0) VectorSize

[Int32](https://docs.microsoft.com/dotnet/api/system.int32): Gets or sets the dimension of the embedding vectors. (Default: `1536`)

## Methods

### ![](/files/ptrKjmmRoQB76pvrIqh0) EmbedAsync(chunks)

Asynchronously generates an embedding for a given array of text chunks.

| Parameter  | Type                                                              | Description                                                         |
| ---------- | ----------------------------------------------------------------- | ------------------------------------------------------------------- |
| **chunks** | [String\[\]](https://docs.microsoft.com/dotnet/api/system.string) | An array of text strings to be embedded. Must not be null or empty. |

**Returns:** [Task\<Embedding>](https://docs.microsoft.com/dotnet/api/system.threading.tasks.task-1). A task representing the asynchronous operation, with a result of type [Embedding](/ai/components/api/embeddings/wisej.ai.embeddings.embedding.md).

This method provides a way to generate embeddings for text data which can be utilized in various NLP tasks. Embeddings are numerical representations of text that capture semantic information.\
Applications may use embeddings for:

* Similarity comparisons
* Semantic searches
* Machine learning models

```csharp

  var textChunks = new[] { "Hello, world!", "C# is awesome." };
  var embeddings = await myEmbeddingService.EmbedAsync(textChunks);

```

## Implements

| Name                                                                                      | Description                                                                      |
| ----------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------- |
| [IEmbeddingGenerationService](/ai/components/api/services/iembeddinggenerationservice.md) | Represents a service capable of generating embeddings from provided text chunks. |


---

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