langchain/vectorstores/typesense.py/Typesense/from_texts
class Typesense:    def from_texts(
        cls,
        texts: List[str],
        embedding: Embeddings,
        metadatas: Optional[List[dict]] = None,
        ids: Optional[List[str]] = None,
        typesense_client: Optional[Client] = None,
        typesense_client_params: Optional[dict] = None,
        typesense_collection_name: Optional[str] = None,
        text_key: str = "text",
        **kwargs: Any,
    ) -> Typesense:
        """Construct Typesense wrapper from raw text."""
        if typesense_client:
            vectorstore = cls(typesense_client, embedding, **kwargs)
        elif typesense_client_params:
            vectorstore = cls.from_client_params(
                embedding, **typesense_client_params, **kwargs
            )
        else:
            raise ValueError(
                "Must specify one of typesense_client or typesense_client_params."
            )
        vectorstore.add_texts(texts, metadatas=metadatas, ids=ids)
        return vectorstore