test_langchain_openai_embedding_documents() — langchain Function Reference
Architecture documentation for the test_langchain_openai_embedding_documents() function in test_base.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD d97a23b9_6105_2ad1_f73a_004d343174fb["test_langchain_openai_embedding_documents()"] 9bf2a9b0_094e_e5e3_a0fa_faa0fc8514e5["test_base.py"] d97a23b9_6105_2ad1_f73a_004d343174fb -->|defined in| 9bf2a9b0_094e_e5e3_a0fa_faa0fc8514e5 style d97a23b9_6105_2ad1_f73a_004d343174fb fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/openai/tests/integration_tests/embeddings/test_base.py lines 12–18
def test_langchain_openai_embedding_documents() -> None:
"""Test openai embeddings."""
documents = ["foo bar"]
embedding = OpenAIEmbeddings()
output = embedding.embed_documents(documents)
assert len(output) == 1
assert len(output[0]) > 0
Domain
Subdomains
Source
Frequently Asked Questions
What does test_langchain_openai_embedding_documents() do?
test_langchain_openai_embedding_documents() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/embeddings/test_base.py.
Where is test_langchain_openai_embedding_documents() defined?
test_langchain_openai_embedding_documents() is defined in libs/partners/openai/tests/integration_tests/embeddings/test_base.py at line 12.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free