# EmbeddingServiceAdapter

> **Class** in `langchain_elasticsearch`

📖 [View in docs](https://reference.langchain.com/python/langchain-elasticsearch/_sync/embeddings/EmbeddingServiceAdapter)

Adapter for LangChain Embeddings to support the EmbeddingService interface from
elasticsearch.helpers.vectorstore.

## Signature

```python
EmbeddingServiceAdapter(
    self,
    langchain_embeddings: Embeddings,
)
```

## Extends

- `EmbeddingService`

## Constructors

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

| Name | Type |
|------|------|
| `langchain_embeddings` | `Embeddings` |


## Methods

- [`embed_documents()`](https://reference.langchain.com/python/langchain-elasticsearch/_sync/embeddings/EmbeddingServiceAdapter/embed_documents)
- [`embed_query()`](https://reference.langchain.com/python/langchain-elasticsearch/_sync/embeddings/EmbeddingServiceAdapter/embed_query)

---

[View source on GitHub](https://github.com/langchain-ai/langchain-elastic/blob/e78a327f38e09abd10128ed28c8774e9a8f9fec0/libs/elasticsearch/langchain_elasticsearch/_sync/embeddings.py#L237)