YandexGPT
This notebook goes over how to use Langchain with YandexGPT embeddings models.
To use, you should have the yandexcloud python package installed.
%pip install --upgrade --quiet yandexcloud
First, you should create service
account with
the ai.languageModels.user role.
Next, you have two authentication options: - IAM
token.
You can specify the token in a constructor parameter iam_token or in
an environment variable YC_IAM_TOKEN. - API
key You
can specify the key in a constructor parameter api_key or in an
environment variable YC_API_KEY.
To specify the model you can use model_uri parameter, see the
documentation
for more details.
By default, the latest version of text-search-query is used from the
folder specified in the parameter folder_id or YC_FOLDER_ID
environment variable.
from langchain_community.embeddings.yandex import YandexGPTEmbeddings
API Reference:
embeddings = YandexGPTEmbeddings()
text = "This is a test document."
query_result = embeddings.embed_query(text)
doc_result = embeddings.embed_documents([text])
query_result[:5]
[-0.021392822265625,
0.096435546875,
-0.046966552734375,
-0.0183258056640625,
-0.00555419921875]
doc_result[0][:5]
[-0.021392822265625,
0.096435546875,
-0.046966552734375,
-0.0183258056640625,
-0.00555419921875]