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https://github.com/hwchase17/langchain
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55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
"""Test MistralAI Embedding"""
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from langchain_mistralai import MistralAIEmbeddings
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def test_mistralai_embedding_documents() -> None:
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"""Test MistralAI embeddings for documents."""
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documents = ["foo bar", "test document"]
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embedding = MistralAIEmbeddings()
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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]) == 1024
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def test_mistralai_embedding_query() -> None:
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"""Test MistralAI embeddings for query."""
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document = "foo bar"
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embedding = MistralAIEmbeddings()
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output = embedding.embed_query(document)
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assert len(output) == 1024
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async def test_mistralai_embedding_documents_async() -> None:
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"""Test MistralAI embeddings for documents."""
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documents = ["foo bar", "test document"]
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embedding = MistralAIEmbeddings()
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output = await embedding.aembed_documents(documents)
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assert len(output) == 2
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assert len(output[0]) == 1024
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async def test_mistralai_embedding_query_async() -> None:
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"""Test MistralAI embeddings for query."""
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document = "foo bar"
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embedding = MistralAIEmbeddings()
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output = await embedding.aembed_query(document)
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assert len(output) == 1024
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def test_mistralai_embedding_documents_long() -> None:
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"""Test MistralAI embeddings for documents."""
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documents = ["foo bar " * 1000, "test document " * 1000] * 5
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embedding = MistralAIEmbeddings()
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output = embedding.embed_documents(documents)
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assert len(output) == 10
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assert len(output[0]) == 1024
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def test_mistralai_embed_query_character() -> None:
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"""Test MistralAI embeddings for query."""
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document = "😳"
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embedding = MistralAIEmbeddings()
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output = embedding.embed_query(document)
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assert len(output) == 1024
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