If a persist_directory is specified, the collection will be persisted there.
        Otherwise, the data will be ephemeral in-memory.
        Args:
            texts (List[str]): List of texts to add to the collection.
            collection_name (str): Name of the collection to create.
            persist_directory (Optional[str]): Directory to persist the collection.
            embedding (Optional[Embeddings]): Embedding function. Defaults to None.
            metadatas (Optional[List[dict]]): List of metadatas. Defaults to None.
            ids (Optional[List[str]]): List of document IDs. Defaults to None.
            client_settings (Optional[chromadb.config.Settings]): Chroma client settings
            collection_metadata (Optional[Dict]): Collection configurations.
                                                  Defaults to None.
        Returns:
            Chroma: Chroma vectorstore.
        """
        chroma_collection = cls(
            collection_name=collection_name,
            embedding_function=embedding,
            persist_directory=persist_directory,
            client_settings=client_settings,
            client=client,
            collection_metadata=collection_metadata,
            **kwargs,
        )
        chroma_collection.add_texts(texts=texts, metadatas=metadatas, ids=ids)
        return chroma_collection
[docs]    @classmethod
    def from_documents(
        cls: Type[Chroma],
        documents: List[Document],
        embedding: Optional[Embeddings] = None,
        ids: Optional[List[str]] = None,
        collection_name: str = _LANGCHAIN_DEFAULT_COLLECTION_NAME,
        persist_directory: Optional[str] = None,
        client_settings: Optional[chromadb.config.Settings] = None,
        client: Optional[chromadb.Client] = None,  # Add this line
        collection_metadata: Optional[Dict] = None,