# EmbeddingsVectorizer

> **Class** in `langchain_redis`

📖 [View in docs](https://reference.langchain.com/python/langchain-redis/cache/EmbeddingsVectorizer)

## Signature

```python
EmbeddingsVectorizer(
    self,
    embeddings: Embeddings,
)
```

## Extends

- `BaseVectorizer`

## Constructors

```python
__init__(
    self,
    embeddings: Embeddings,
)
```

| Name | Type |
|------|------|
| `embeddings` | `Embeddings` |


## Properties

- `embeddings`
- `model`
- `model_config`

## Methods

- [`encode()`](https://reference.langchain.com/python/langchain-redis/cache/EmbeddingsVectorizer/encode)
- [`embed()`](https://reference.langchain.com/python/langchain-redis/cache/EmbeddingsVectorizer/embed)
- [`embed_many()`](https://reference.langchain.com/python/langchain-redis/cache/EmbeddingsVectorizer/embed_many)
- [`aembed()`](https://reference.langchain.com/python/langchain-redis/cache/EmbeddingsVectorizer/aembed)
- [`aembed_many()`](https://reference.langchain.com/python/langchain-redis/cache/EmbeddingsVectorizer/aembed_many)

---

[View source on GitHub](https://github.com/langchain-ai/langchain-redis/blob/17794ab183d4abde98747360f251478088836347/libs/redis/langchain_redis/cache.py#L53)