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docs[patch]: Fix embeddings example for Databricks (#14576)

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Fix `from langchain.llms import DatabricksEmbeddings` to `from
langchain.embeddings import DatabricksEmbeddings`.

Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
This commit is contained in:
Harutaka Kawamura 2023-12-12 09:55:23 +09:00 committed by GitHub
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docs/docs/integrations/providers/databricks.md
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@ -66,7 +66,7 @@ Databricks Foundation Model APIs
[Databricks Foundation Model APIs](https://docs.databricks.com/machine-learning/foundation-models/index.html) allow you to access and query state-of-the-art open source models from dedicated serving endpoints. With Foundation Model APIs, developers can quickly and easily build applications that leverage a high-quality generative AI model without maintaining their own model deployment. The following example uses the `databricks-bge-large-en` endpoint to generate embeddings from text:
```python
from langchain.llms import DatabricksEmbeddings
from langchain.embeddings import DatabricksEmbeddings
embeddings = DatabricksEmbeddings(endpoint="databricks-bge-large-en")