from_texts() — langchain Function Reference
Architecture documentation for the from_texts() function in test_time_weighted_retriever.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 2c1a291a_0dae_be57_519e_9029a7e446e9["from_texts()"] 7e77bbc5_6b03_10c7_3db9_fd34f9dd5b18["MockVectorStore"] 2c1a291a_0dae_be57_519e_9029a7e446e9 -->|defined in| 7e77bbc5_6b03_10c7_3db9_fd34f9dd5b18 style 2c1a291a_0dae_be57_519e_9029a7e446e9 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py lines 55–62
def from_texts(
cls: type["MockVectorStore"],
texts: list[str],
embedding: Embeddings,
metadatas: list[dict] | None = None,
**kwargs: Any,
) -> "MockVectorStore":
return cls()
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Frequently Asked Questions
What does from_texts() do?
from_texts() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py.
Where is from_texts() defined?
from_texts() is defined in libs/langchain/tests/unit_tests/retrievers/test_time_weighted_retriever.py at line 55.
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