---
title: sparse_embedding | CodeWeaver Docs
description: API reference for codeweaver.providers.config.sdk.sparse_embedding
url: "https://docs.knitli.com/api/providers/config/sdk/sparse_embedding"
type: static
generatedAt: "2026-04-17T17:21:08.913Z"
---

# sparse_embedding
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# `codeweaver.providers.config.sdk.sparse_embedding`
[Section titled “codeweaver.providers.config.sdk.sparse_embedding”](#codeweaverprovidersconfigsdksparse_embedding)
This module defines configuration models for sparse embedding providers in CodeWeaver, including Sentence Transformers and FastEmbed. Each model includes provider-specific configuration options for embedding and query encoding, as well as methods to convert these configurations into the format expected by the respective provider’s SDK. The base class `BaseSparseEmbeddingConfig` provides common functionality for all sparse embedding configurations, while specific classes like `SentenceTransformersSparseEmbeddingConfig` and `FastEmbedSparseEmbeddingConfig` implement provider-specific details.

## Class: `BaseSparseEmbeddingConfig`
[Section titled “Class: BaseSparseEmbeddingConfig”](#class-basesparseembeddingconfig)
Base configuration for sparse embedding models.

### Method: `set_dimension`
[Section titled “Method: set_dimension”](#method-set_dimension)

**

```
set_dimension()
```

No op for sparse embeddings.

## Class: `FastEmbedSparseEmbeddingConfig`
[Section titled “Class: FastEmbedSparseEmbeddingConfig”](#class-fastembedsparseembeddingconfig)
Configuration options for FastEmbed sparse embedding models.

Inherits all configuration from FastEmbedEmbeddingConfig.

### Method: `as_sparse_vector_params`
[Section titled “Method: as_sparse_vector_params”](#method-as_sparse_vector_params)

**

```
as_sparse_vector_params()
```

Get Qdrant SparseVectorParams for this sparse embedding configuration.

### Method: `set_datatype`
[Section titled “Method: set_datatype”](#method-set_datatype)

**

```
set_datatype()
```

Set the embedding datatype explicitly in the embedding configuration.

Args: datatype: The datatype to set.

### Method: `set_dimension`
[Section titled “Method: set_dimension”](#method-set_dimension-1)

**

```
set_dimension()
```

Set the embedding dimension explicitly in the embedding configuration.

Args: dimension: The dimension to set.

## Class: `SentenceTransformersSparseEmbeddingConfig`
[Section titled “Class: SentenceTransformersSparseEmbeddingConfig”](#class-sentencetransformerssparseembeddingconfig)
Configuration options for Sentence Transformers sparse embedding models.

### Method: `as_sparse_vector_params`
[Section titled “Method: as_sparse_vector_params”](#method-as_sparse_vector_params-1)

**

```
as_sparse_vector_params()
```

Get Qdrant SparseVectorParams for this sparse embedding configuration.

### Method: `set_datatype`
[Section titled “Method: set_datatype”](#method-set_datatype-1)

**

```
set_datatype()
```

Set the embedding datatype explicitly in the embedding configuration.

Args: datatype: The datatype to set.

### Method: `set_dimension`
[Section titled “Method: set_dimension”](#method-set_dimension-2)

**

```
set_dimension()
```

No op for sparse embeddings since dimension is determined by the tokenizer and not fixed. Return self for chaining.