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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

Relationship Graph

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()

Domain

Subdomains

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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