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- Description： * Baidu AI Cloud's [Qianfan Platform](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html) is an all-in-one platform for large model development and service deployment, catering to enterprise developers in China. Qianfan Platform offers a wide range of resources, including the Wenxin Yiyan model (ERNIE-Bot) and various third-party open-source models. - Issue: none - Dependencies: * qianfan - Tag maintainer: @baskaryan - Twitter handle: --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
26 lines
773 B
Python
26 lines
773 B
Python
"""Test Baidu Qianfan Embedding Endpoint."""
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from langchain.embeddings.baidu_qianfan_endpoint import QianfanEmbeddingsEndpoint
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def test_embedding_multiple_documents() -> None:
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documents = ["foo", "bar"]
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embedding = QianfanEmbeddingsEndpoint()
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output = embedding.embed_documents(documents)
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assert len(output) == 2
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assert len(output[0]) == 384
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assert len(output[1]) == 384
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def test_embedding_query() -> None:
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query = "foo"
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embedding = QianfanEmbeddingsEndpoint()
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output = embedding.embed_query(query)
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assert len(output) == 384
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def test_model() -> None:
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documents = ["hi", "qianfan"]
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embedding = QianfanEmbeddingsEndpoint(model="Embedding-V1")
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output = embedding.embed_documents(documents)
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assert len(output) == 2
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