langchain_community.document_loaders.fauna
.FaunaLoader¶
- class langchain_community.document_loaders.fauna.FaunaLoader(query: str, page_content_field: str, secret: str, metadata_fields: Optional[Sequence[str]] = None)[source]¶
Load from FaunaDB.
- Parameters
query (str) –
page_content_field (str) –
secret (str) –
metadata_fields (Optional[Sequence[str]]) –
- query¶
The FQL query string to execute.
- Type
str
- page_content_field¶
The field that contains the content of each page.
- Type
str
- secret¶
The secret key for authenticating to FaunaDB.
- Type
str
- metadata_fields¶
Optional list of field names to include in metadata.
- Type
Optional[Sequence[str]]
Methods
__init__
(query, page_content_field, secret)A lazy loader for Documents.
A lazy loader for Documents.
load
()Load data into Document objects.
load_and_split
([text_splitter])Load Documents and split into chunks.
- __init__(query: str, page_content_field: str, secret: str, metadata_fields: Optional[Sequence[str]] = None)[source]¶
- Parameters
query (str) –
page_content_field (str) –
secret (str) –
metadata_fields (Optional[Sequence[str]]) –
- async alazy_load() AsyncIterator[Document] ¶
A lazy loader for Documents.
- Return type
AsyncIterator[Document]
- lazy_load() Iterator[Document] [source]¶
A lazy loader for Documents.
- Return type
Iterator[Document]
- load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document] ¶
Load Documents and split into chunks. Chunks are returned as Documents.
Do not override this method. It should be considered to be deprecated!
- Parameters
text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns
List of Documents.
- Return type
List[Document]