ComponentsDocument transformersNucliaNucliaNuclia automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing.Nuclia Understanding API document transformer splits text into paragraphs and sentences, identifies entities, provides a summary of the text and generates embeddings for all the sentences.To use the Nuclia Understanding API, you need to have a Nuclia account. You can create one for free at https://nuclia.cloud, and then create a NUA key.from langchain.document_transformers.nuclia_text_transform import NucliaTextTransformer#!pip install --upgrade protobuf#!pip install nucliadb-protosimport osos.environ["NUCLIA_ZONE"] = "<YOUR_ZONE>"  # e.g. europe-1os.environ["NUCLIA_NUA_KEY"] = "<YOUR_API_KEY>"To use the Nuclia document transformer, you need to instantiate a NucliaUnderstandingAPI tool with enable_ml set to True:from langchain.tools.nuclia import NucliaUnderstandingAPInua = NucliaUnderstandingAPI(enable_ml=True)The Nuclia document transformer must be called in async mode, so you need to use the atransform_documents method:import asynciofrom langchain.document_transformers.nuclia_text_transform import NucliaTextTransformerfrom langchain.schema.document import Documentasync def process():    documents = [        Document(page_content="<TEXT 1>", metadata={}),        Document(page_content="<TEXT 2>", metadata={}),        Document(page_content="<TEXT 3>", metadata={}),    ]    nuclia_transformer = NucliaTextTransformer(nua)    transformed_documents = await nuclia_transformer.atransform_documents(documents)    print(transformed_documents)asyncio.run(process())PreviousHTML to textNextOpenAI metadata tagger