langchain_community.document_loaders.rspace.RSpaceLoader¶
class langchain_community.document_loaders.rspace.RSpaceLoader(global_id: str, api_key: Optional[str] = None, url: Optional[str] = None)[source]¶
Loads  content from RSpace notebooks, folders, documents or PDF Gallery files into
Langchain documents.
Maps  RSpace document <-> Langchain Document in 1-1. PDFs are imported using PyPDF.
Requirements are rspace_client (pip install rspace_client) and PyPDF if importingPDF docs (pip install pypdf).
api_key: RSpace API key - can also be supplied as environment variable
‘RSPACE_API_KEY’
url: str
The URL of your RSpace instance - can also be supplied as environment
variable ‘RSPACE_URL’
global_id: str
The global ID of the resource to load,
e.g. ‘SD12344’ (a single document); ‘GL12345’(A PDF file in the gallery);
‘NB4567’ (a notebook); ‘FL12244’ (a folder)
Methods
__init__(global_id[, api_key, url])
api_key: RSpace API key - can also be supplied as environment variable 'RSPACE_API_KEY' url: str The URL of your RSpace instance - can also be supplied as environment variable 'RSPACE_URL' global_id: str  The global ID of the resource to load, e.g. 'SD12344' (a single document); 'GL12345'(A PDF file in the gallery); 'NB4567' (a notebook); 'FL12244' (a folder).
lazy_load()
A lazy loader for Documents.
load()
Load data into Document objects.
load_and_split([text_splitter])
Load Documents and split into chunks.
validate_environment(values)