Files
langchain/docs/modules/models/text_embedding/examples/dashscope.ipynb
T
wenmeng zhouandHarrison Chase bb7ac9edb5 add dashscope text embedding (#5929)
#### What I do
Adding embedding api for
[DashScope](https://help.aliyun.com/product/610100.html), which is the
DAMO Academy's multilingual text unified vector model based on the LLM
base. It caters to multiple mainstream languages worldwide and offers
high-quality vector services, helping developers quickly transform text
data into high-quality vector data. Currently supported languages
include Chinese, English, Spanish, French, Portuguese, Indonesian, and
more.

#### Who can review?

  Models
  - @hwchase17
  - @agola11

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-11 21:14:20 -07:00

1.6 KiB

DashScope

Let's load the DashScope Embedding class.

In [ ]:
from langchain.embeddings import DashScopeEmbeddings
In [ ]:
embeddings = DashScopeEmbeddings(model='text-embedding-v1', dashscope_api_key='your-dashscope-api-key')
In [ ]:
text = "This is a test document."
In [ ]:
query_result = embeddings.embed_query(text)
print(query_result)
In [ ]:
doc_results = embeddings.embed_documents(["foo"])
print(doc_results)