afrom_texts() — langchain Function Reference

Architecture documentation for the afrom_texts() function in base.py from the langchain codebase.

Function python DataProcessing DocumentLoaders called by 1

Entity Profile

DataProcessing→ DocumentLoaders→ afrom_texts() — langchain Function Reference

Dependency Diagram

graph TD
  755352fa_b98e_ac4a_7fcc_641f75863436["afrom_texts()"]
  6c336ac6_f55c_1ad7_6db3_73dbd71fb625["VectorStore"]
  755352fa_b98e_ac4a_7fcc_641f75863436 -->|defined in| 6c336ac6_f55c_1ad7_6db3_73dbd71fb625
  4ed18cca_a7fc_92c8_c198_a06d26cd571b["afrom_documents()"]
  4ed18cca_a7fc_92c8_c198_a06d26cd571b -->|calls| 755352fa_b98e_ac4a_7fcc_641f75863436
  style 755352fa_b98e_ac4a_7fcc_641f75863436 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/vectorstores/base.py lines 871–896

    async def afrom_texts(
        cls,
        texts: list[str],
        embedding: Embeddings,
        metadatas: list[dict] | None = None,
        *,
        ids: list[str] | None = None,
        **kwargs: Any,
    ) -> Self:
        """Async return `VectorStore` initialized from texts and embeddings.

        Args:
            texts: Texts to add to the `VectorStore`.
            embedding: Embedding function to use.
            metadatas: Optional list of metadatas associated with the texts.
            ids: Optional list of IDs associated with the texts.
            **kwargs: Additional keyword arguments.

        Returns:
            `VectorStore` initialized from texts and embeddings.
        """
        if ids is not None:
            kwargs["ids"] = ids
        return await run_in_executor(
            None, cls.from_texts, texts, embedding, metadatas, **kwargs
        )