from_texts() — langchain Function Reference

Architecture documentation for the from_texts() function in test_indexing.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

LangChainCore→ ApiManagement→ from_texts() — langchain Function Reference

Dependency Diagram

graph TD
  cea39929_0e7c_461a_1a1d_0b0c7355c3d6["from_texts()"]
  4269aa92_b131_014d_4134_d396f7de1f62["InMemoryVectorStore"]
  cea39929_0e7c_461a_1a1d_0b0c7355c3d6 -->|defined in| 4269aa92_b131_014d_4134_d396f7de1f62
  style cea39929_0e7c_461a_1a1d_0b0c7355c3d6 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/indexes/test_indexing.py lines 120–128

    def from_texts(
        cls: type[VST],
        texts: list[str],
        embedding: Embeddings,
        metadatas: list[dict[Any, Any]] | None = None,
        **kwargs: Any,
    ) -> VST:
        """Create a vector store from a list of texts."""
        raise NotImplementedError