id stringlengths 14 16 | text stringlengths 13 2.7k | source stringlengths 57 178 |
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f9b28469aa6d-0 | langchain.document_loaders.excel.UnstructuredExcelLoader¶
class langchain.document_loaders.excel.UnstructuredExcelLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Load Microsoft Excel files using Unstructured.
Like other
Unstructured loaders, UnstructuredExcelLoader can be used in both
... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.excel.UnstructuredExcelLoader.html |
f9b28469aa6d-1 | lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document]¶
Load file.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting ... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.excel.UnstructuredExcelLoader.html |
537b3ff355bc-0 | langchain.document_loaders.generic.GenericLoader¶
class langchain.document_loaders.generic.GenericLoader(blob_loader: BlobLoader, blob_parser: BaseBlobParser)[source]¶
Generic Document Loader.
A generic document loader that allows combining an arbitrary blob loader with
a blob parser.
Examples
from langchain.document_l... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.generic.GenericLoader.html |
537b3ff355bc-1 | Methods
__init__(blob_loader, blob_parser)
A generic document loader.
from_filesystem(path, *[, glob, exclude, ...])
Create a generic document loader using a filesystem blob loader.
lazy_load()
Load documents lazily.
load()
Load all documents.
load_and_split([text_splitter])
Load all documents and split them into sente... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.generic.GenericLoader.html |
537b3ff355bc-2 | load() → List[Document][source]¶
Load all documents.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document][source]¶
Load all documents and split them into sentences.
Examples using GenericLoader¶
Grobid
Loading documents from a YouTube url
Source Code
Set env var OPENAI_API_KEY or load from a .e... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.generic.GenericLoader.html |
b8ed7ecde909-0 | langchain.document_loaders.open_city_data.OpenCityDataLoader¶
class langchain.document_loaders.open_city_data.OpenCityDataLoader(city_id: str, dataset_id: str, limit: int)[source]¶
Load from Open City.
Initialize with dataset_id.
Example: https://dev.socrata.com/foundry/data.sfgov.org/vw6y-z8j6
e.g., city_id = data.sfg... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.open_city_data.OpenCityDataLoader.html |
b8ed7ecde909-1 | Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to RecursiveCharacterTextSplitter.
Returns
List of Documents.
Examples using OpenCityDataLoader¶
Geopandas
Open City Data | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.open_city_data.OpenCityDataLoader.html |
fb9a19f7adf5-0 | langchain.document_loaders.odt.UnstructuredODTLoader¶
class langchain.document_loaders.odt.UnstructuredODTLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Load OpenOffice ODT files using Unstructured.
You can run the loader in one of two modes: “single” and “elements”.
If you use “singl... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.odt.UnstructuredODTLoader.html |
fb9a19f7adf5-1 | mode – The mode to use when loading the file. Can be one of “single”,
“multi”, or “all”. Default is “single”.
**unstructured_kwargs – Any kwargs to pass to the unstructured.
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document]¶
Load file.
load_and_split(text_splitter: Optional[TextSpli... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.odt.UnstructuredODTLoader.html |
4ffac6999228-0 | langchain.document_loaders.email.UnstructuredEmailLoader¶
class langchain.document_loaders.email.UnstructuredEmailLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Load email files using Unstructured.
Works with both
.eml and .msg files. You can process attachments in addition to the
e-m... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.email.UnstructuredEmailLoader.html |
4ffac6999228-1 | Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to RecursiveCharacterTextSplitter.
Returns
List of Documents.
Examples using UnstructuredEmailLoader¶
Email | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.email.UnstructuredEmailLoader.html |
20516a7d830a-0 | langchain.document_loaders.blob_loaders.youtube_audio.YoutubeAudioLoader¶
class langchain.document_loaders.blob_loaders.youtube_audio.YoutubeAudioLoader(urls: List[str], save_dir: str)[source]¶
Load YouTube urls as audio file(s).
Methods
__init__(urls, save_dir)
yield_blobs()
Yield audio blobs for each url.
__init__(ur... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.blob_loaders.youtube_audio.YoutubeAudioLoader.html |
e8a930593347-0 | langchain.document_loaders.parsers.msword.MsWordParser¶
class langchain.document_loaders.parsers.msword.MsWordParser[source]¶
Parse the Microsoft Word documents from a blob.
Methods
__init__()
lazy_parse(blob)
Parse a Microsoft Word document into the Document iterator.
parse(blob)
Eagerly parse the blob into a document... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.msword.MsWordParser.html |
82ef8acf6f4a-0 | langchain.document_loaders.parsers.grobid.ServerUnavailableException¶
class langchain.document_loaders.parsers.grobid.ServerUnavailableException[source]¶
Exception raised when the Grobid server is unavailable. | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.grobid.ServerUnavailableException.html |
6682fb9e72c3-0 | langchain.document_loaders.unstructured.UnstructuredAPIFileLoader¶
class langchain.document_loaders.unstructured.UnstructuredAPIFileLoader(file_path: Union[str, List[str]] = '', mode: str = 'single', url: str = 'https://api.unstructured.io/general/v0/general', api_key: str = '', **unstructured_kwargs: Any)[source]¶
Loa... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.unstructured.UnstructuredAPIFileLoader.html |
6682fb9e72c3-1 | lazy_load()
A lazy loader for Documents.
load()
Load file.
load_and_split([text_splitter])
Load Documents and split into chunks.
__init__(file_path: Union[str, List[str]] = '', mode: str = 'single', url: str = 'https://api.unstructured.io/general/v0/general', api_key: str = '', **unstructured_kwargs: Any)[source]¶
Init... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.unstructured.UnstructuredAPIFileLoader.html |
4de57da1f1fd-0 | langchain.document_loaders.confluence.ContentFormat¶
class langchain.document_loaders.confluence.ContentFormat(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]¶
Enumerator of the content formats of Confluence page.
EDITOR = 'body.editor'¶
EXPORT_VIEW = 'body.export_view'¶
ANO... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.confluence.ContentFormat.html |
978736c4c28a-0 | langchain.document_loaders.blob_loaders.schema.BlobLoader¶
class langchain.document_loaders.blob_loaders.schema.BlobLoader[source]¶
Abstract interface for blob loaders implementation.
Implementer should be able to load raw content from a storage system according
to some criteria and return the raw content lazily as a s... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.blob_loaders.schema.BlobLoader.html |
1a5cc3da224d-0 | langchain.document_loaders.lakefs.LakeFSLoader¶
class langchain.document_loaders.lakefs.LakeFSLoader(lakefs_access_key: str, lakefs_secret_key: str, lakefs_endpoint: str, repo: Optional[str] = None, ref: Optional[str] = 'main', path: Optional[str] = '')[source]¶
Load from lakeFS.
Parameters
lakefs_access_key – [require... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.lakefs.LakeFSLoader.html |
1a5cc3da224d-1 | ex: https://example.my-lakefs.com
repo – [optional, default = ‘’] target repository
ref – [optional, default = ‘main’] target ref (branch name,
tag, or commit ID)
path – [optional, default = ‘’] target path
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document][source]¶
Load data into Do... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.lakefs.LakeFSLoader.html |
d03783d5033e-0 | langchain.document_loaders.org_mode.UnstructuredOrgModeLoader¶
class langchain.document_loaders.org_mode.UnstructuredOrgModeLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Load Org-Mode files using Unstructured.
You can run the loader in one of two modes: “single” and “elements”.
If yo... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.org_mode.UnstructuredOrgModeLoader.html |
d03783d5033e-1 | **unstructured_kwargs – Any additional keyword arguments to pass
to the unstructured.
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document]¶
Load file.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returne... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.org_mode.UnstructuredOrgModeLoader.html |
e45808f475f4-0 | langchain.document_loaders.nuclia.NucliaLoader¶
class langchain.document_loaders.nuclia.NucliaLoader(path: str, nuclia_tool: NucliaUnderstandingAPI)[source]¶
Load from any file type using Nuclia Understanding API.
Methods
__init__(path, nuclia_tool)
lazy_load()
A lazy loader for Documents.
load()
Load documents.
load_a... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.nuclia.NucliaLoader.html |
398d8008766a-0 | langchain.document_loaders.parsers.pdf.DocumentIntelligenceParser¶
class langchain.document_loaders.parsers.pdf.DocumentIntelligenceParser(client: Any, model: str)[source]¶
Loads a PDF with Azure Document Intelligence
(formerly Forms Recognizer) and chunks at character level.
Methods
__init__(client, model)
lazy_parse(... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.pdf.DocumentIntelligenceParser.html |
c68d15f1c425-0 | langchain.document_loaders.trello.TrelloLoader¶
class langchain.document_loaders.trello.TrelloLoader(client: TrelloClient, board_name: str, *, include_card_name: bool = True, include_comments: bool = True, include_checklist: bool = True, card_filter: Literal['closed', 'open', 'all'] = 'all', extra_metadata: Tuple[str, ... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.trello.TrelloLoader.html |
c68d15f1c425-1 | load_and_split([text_splitter])
Load Documents and split into chunks.
__init__(client: TrelloClient, board_name: str, *, include_card_name: bool = True, include_comments: bool = True, include_checklist: bool = True, card_filter: Literal['closed', 'open', 'all'] = 'all', extra_metadata: Tuple[str, ...] = ('due_date', 'l... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.trello.TrelloLoader.html |
c68d15f1c425-2 | include_checklist – Whether to include the checklist on the card in the
document.
card_filter – Filter on card status. Valid values are “closed”, “open”,
“all”.
extra_metadata – List of additional metadata fields to include as document
metadata.Valid values are “due_date”, “labels”, “list”, “closed”.
lazy_load() → Iter... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.trello.TrelloLoader.html |
bbac3595f3b8-0 | langchain.document_loaders.baiducloud_bos_directory.BaiduBOSDirectoryLoader¶
class langchain.document_loaders.baiducloud_bos_directory.BaiduBOSDirectoryLoader(conf: Any, bucket: str, prefix: str = '')[source]¶
Load from Baidu BOS directory.
Initialize with BOS config, bucket and prefix.
:param conf(BosConfig): BOS conf... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.baiducloud_bos_directory.BaiduBOSDirectoryLoader.html |
6bc17c814772-0 | langchain.document_loaders.pdf.PyPDFLoader¶
class langchain.document_loaders.pdf.PyPDFLoader(file_path: str, password: Optional[Union[str, bytes]] = None, headers: Optional[Dict] = None, extract_images: bool = False)[source]¶
Load PDF using pypdf into list of documents.
Loader chunks by page and stores page numbers in ... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.pdf.PyPDFLoader.html |
c4a0218e8f88-0 | langchain.document_loaders.lakefs.LakeFSClient¶
class langchain.document_loaders.lakefs.LakeFSClient(lakefs_access_key: str, lakefs_secret_key: str, lakefs_endpoint: str)[source]¶
Methods
__init__(lakefs_access_key, ...)
is_presign_supported()
ls_objects(repo, ref, path, presign)
__init__(lakefs_access_key: str, lakefs... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.lakefs.LakeFSClient.html |
c70e53fe6d03-0 | langchain.document_loaders.rocksetdb.default_joiner¶
langchain.document_loaders.rocksetdb.default_joiner(docs: List[Tuple[str, Any]]) → str[source]¶
Default joiner for content columns. | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.rocksetdb.default_joiner.html |
84700a3c0601-0 | langchain.document_loaders.url_playwright.PlaywrightURLLoader¶
class langchain.document_loaders.url_playwright.PlaywrightURLLoader(urls: List[str], continue_on_failure: bool = True, headless: bool = True, remove_selectors: Optional[List[str]] = None, evaluator: Optional[PlaywrightEvaluator] = None)[source]¶
Load HTML p... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.url_playwright.PlaywrightURLLoader.html |
84700a3c0601-1 | A lazy loader for Documents.
load() → List[Document][source]¶
Load the specified URLs using Playwright and create Document instances.
Returns
A list of Document instances with loaded content.
Return type
List[Document]
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and spl... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.url_playwright.PlaywrightURLLoader.html |
9210376a294f-0 | langchain.document_loaders.sitemap.SitemapLoader¶
class langchain.document_loaders.sitemap.SitemapLoader(web_path: str, filter_urls: Optional[List[str]] = None, parsing_function: Optional[Callable] = None, blocksize: Optional[int] = None, blocknum: int = 0, meta_function: Optional[Callable] = None, is_local: bool = Fal... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.sitemap.SitemapLoader.html |
9210376a294f-1 | Parameters
web_path – url of the sitemap. can also be a local path
filter_urls – a list of regexes. If specified, only
URLS that match one of the filter URLs will be loaded.
WARNING The filter URLs are interpreted as regular expressions.
Remember to escape special characters if you do not want them to be
interpreted as... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.sitemap.SitemapLoader.html |
9210376a294f-2 | fetch_all(urls)
Fetch all urls concurrently with rate limiting.
lazy_load()
Lazy load text from the url(s) in web_path.
load()
Load sitemap.
load_and_split([text_splitter])
Load Documents and split into chunks.
parse_sitemap(soup)
Parse sitemap xml and load into a list of dicts.
scrape([parser])
Scrape data from webpag... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.sitemap.SitemapLoader.html |
9210376a294f-3 | Default: 0
meta_function – Function to parse bs4.Soup output for metadata
remember when setting this method to also copy metadata[“loc”]
to metadata[“source”] if you are using this field
is_local – whether the sitemap is a local file. Default: False
continue_on_failure – whether to continue loading the sitemap if an er... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.sitemap.SitemapLoader.html |
9210376a294f-4 | Scrape data from webpage and return it in BeautifulSoup format.
scrape_all(urls: List[str], parser: Optional[str] = None) → List[Any]¶
Fetch all urls, then return soups for all results.
Examples using SitemapLoader¶
Sitemap | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.sitemap.SitemapLoader.html |
c4371f3752c0-0 | langchain.document_loaders.arxiv.ArxivLoader¶
class langchain.document_loaders.arxiv.ArxivLoader(query: str, doc_content_chars_max: Optional[int] = None, **kwargs: Any)[source]¶
Load a query result from Arxiv.
The loader converts the original PDF format into the text.
Parameters
ArxivAPIWrapper. (Supports all arguments... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.arxiv.ArxivLoader.html |
355fb050c162-0 | langchain.document_loaders.max_compute.MaxComputeLoader¶
class langchain.document_loaders.max_compute.MaxComputeLoader(query: str, api_wrapper: MaxComputeAPIWrapper, *, page_content_columns: Optional[Sequence[str]] = None, metadata_columns: Optional[Sequence[str]] = None)[source]¶
Load from Alibaba Cloud MaxCompute tab... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.max_compute.MaxComputeLoader.html |
355fb050c162-1 | If unspecified, all columns not added to page_content will be written.
classmethod from_params(query: str, endpoint: str, project: str, *, access_id: Optional[str] = None, secret_access_key: Optional[str] = None, **kwargs: Any) → MaxComputeLoader[source]¶
Convenience constructor that builds the MaxCompute API wrapper f... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.max_compute.MaxComputeLoader.html |
2d0af6208a3c-0 | langchain.document_loaders.pdf.PDFPlumberLoader¶
class langchain.document_loaders.pdf.PDFPlumberLoader(file_path: str, text_kwargs: Optional[Mapping[str, Any]] = None, dedupe: bool = False, headers: Optional[Dict] = None, extract_images: bool = False)[source]¶
Load PDF files using pdfplumber.
Initialize with a file pat... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.pdf.PDFPlumberLoader.html |
8f7856ba9128-0 | langchain.document_loaders.unstructured.get_elements_from_api¶
langchain.document_loaders.unstructured.get_elements_from_api(file_path: Optional[Union[str, List[str]]] = None, file: Optional[Union[IO, Sequence[IO]]] = None, api_url: str = 'https://api.unstructured.io/general/v0/general', api_key: str = '', **unstructur... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.unstructured.get_elements_from_api.html |
d863f96b6c8a-0 | langchain.document_loaders.parsers.audio.YandexSTTParser¶
class langchain.document_loaders.parsers.audio.YandexSTTParser(*, api_key: Optional[str] = None, iam_token: Optional[str] = None, model: str = 'general', language: str = 'auto')[source]¶
Transcribe and parse audio files.
Audio transcription is with OpenAI Whispe... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.audio.YandexSTTParser.html |
d863f96b6c8a-1 | Lazily parse the blob.
parse(blob: Blob) → List[Document]¶
Eagerly parse the blob into a document or documents.
This is a convenience method for interactive development environment.
Production applications should favor the lazy_parse method instead.
Subclasses should generally not over-ride this parse method.
Parameter... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.audio.YandexSTTParser.html |
c29bb20427d5-0 | langchain.document_loaders.roam.RoamLoader¶
class langchain.document_loaders.roam.RoamLoader(path: str)[source]¶
Load Roam files from a directory.
Initialize with a path.
Methods
__init__(path)
Initialize with a path.
lazy_load()
A lazy loader for Documents.
load()
Load documents.
load_and_split([text_splitter])
Load D... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.roam.RoamLoader.html |
5d397031013b-0 | langchain.document_loaders.gcs_file.GCSFileLoader¶
class langchain.document_loaders.gcs_file.GCSFileLoader(project_name: str, bucket: str, blob: str, loader_func: Optional[Callable[[str], BaseLoader]] = None)[source]¶
Load from GCS file.
Initialize with bucket and key name.
Parameters
project_name – The name of the pro... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.gcs_file.GCSFileLoader.html |
5d397031013b-1 | file_path argument. If nothing is provided, the
UnstructuredFileLoader is used.
Examples
To use an alternative PDF loader:
>> from from langchain.document_loaders import PyPDFLoader
>> loader = GCSFileLoader(…, loader_func=PyPDFLoader)
To use UnstructuredFileLoader with additional arguments:
>> loader = GCSFileLoader(…... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.gcs_file.GCSFileLoader.html |
6272f08ddbfb-0 | langchain.document_loaders.college_confidential.CollegeConfidentialLoader¶
class langchain.document_loaders.college_confidential.CollegeConfidentialLoader(web_path: Union[str, Sequence[str]] = '', header_template: Optional[dict] = None, verify_ssl: bool = True, proxies: Optional[dict] = None, continue_on_failure: bool ... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.college_confidential.CollegeConfidentialLoader.html |
6272f08ddbfb-1 | scrape([parser])
Scrape data from webpage and return it in BeautifulSoup format.
scrape_all(urls[, parser])
Fetch all urls, then return soups for all results.
__init__(web_path: Union[str, Sequence[str]] = '', header_template: Optional[dict] = None, verify_ssl: bool = True, proxies: Optional[dict] = None, continue_on_f... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.college_confidential.CollegeConfidentialLoader.html |
6272f08ddbfb-2 | Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to RecursiveCharacterTextSplitter.
Returns
List of Documents.
scrape(parser: Optional[str] = None) → Any¶
Scrape data from webpage and return it in BeautifulS... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.college_confidential.CollegeConfidentialLoader.html |
2a3b2161b19d-0 | langchain.document_loaders.web_base.WebBaseLoader¶
class langchain.document_loaders.web_base.WebBaseLoader(web_path: Union[str, Sequence[str]] = '', header_template: Optional[dict] = None, verify_ssl: bool = True, proxies: Optional[dict] = None, continue_on_failure: bool = False, autoset_encoding: bool = True, encoding... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.web_base.WebBaseLoader.html |
2a3b2161b19d-1 | scrape([parser])
Scrape data from webpage and return it in BeautifulSoup format.
scrape_all(urls[, parser])
Fetch all urls, then return soups for all results.
__init__(web_path: Union[str, Sequence[str]] = '', header_template: Optional[dict] = None, verify_ssl: bool = True, proxies: Optional[dict] = None, continue_on_f... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.web_base.WebBaseLoader.html |
2a3b2161b19d-2 | Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to RecursiveCharacterTextSplitter.
Returns
List of Documents.
scrape(parser: Optional[str] = None) → Any[source]¶
Scrape data from webpage and return it in Be... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.web_base.WebBaseLoader.html |
f42f40607f3b-0 | langchain.document_loaders.html_bs.BSHTMLLoader¶
class langchain.document_loaders.html_bs.BSHTMLLoader(file_path: str, open_encoding: Optional[str] = None, bs_kwargs: Optional[dict] = None, get_text_separator: str = '')[source]¶
Load HTML files and parse them with beautiful soup.
Initialise with path, and optionally, f... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.html_bs.BSHTMLLoader.html |
f42f40607f3b-1 | load() → List[Document][source]¶
Load HTML document into document objects.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to R... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.html_bs.BSHTMLLoader.html |
37aa60b94806-0 | langchain.document_loaders.parsers.registry.get_parser¶
langchain.document_loaders.parsers.registry.get_parser(parser_name: str) → BaseBlobParser[source]¶
Get a parser by parser name. | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.registry.get_parser.html |
b0f81326eea4-0 | langchain.document_loaders.etherscan.EtherscanLoader¶
class langchain.document_loaders.etherscan.EtherscanLoader(account_address: str, api_key: str = 'docs-demo', filter: str = 'normal_transaction', page: int = 1, offset: int = 10, start_block: int = 0, end_block: int = 99999999, sort: str = 'desc')[source]¶
Load trans... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.etherscan.EtherscanLoader.html |
b0f81326eea4-1 | lazy_load() → Iterator[Document][source]¶
Lazy load Documents from table.
load() → List[Document][source]¶
Load transactions from spcifc account by Etherscan.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.etherscan.EtherscanLoader.html |
12f6cf41da9c-0 | langchain.document_loaders.s3_directory.S3DirectoryLoader¶
class langchain.document_loaders.s3_directory.S3DirectoryLoader(bucket: str, prefix: str = '', *, region_name: Optional[str] = None, api_version: Optional[str] = None, use_ssl: Optional[bool] = True, verify: Union[str, bool, None] = None, endpoint_url: Optional... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.s3_directory.S3DirectoryLoader.html |
12f6cf41da9c-1 | different CA cert bundle than the one used by botocore.
endpoint_url – The complete URL to use for the constructed
client. Normally, botocore will automatically construct the
appropriate URL to use when communicating with a service. You can
specify a complete URL (including the “http/https” scheme) to
override this b... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.s3_directory.S3DirectoryLoader.html |
12f6cf41da9c-2 | load_and_split([text_splitter])
Load Documents and split into chunks.
__init__(bucket: str, prefix: str = '', *, region_name: Optional[str] = None, api_version: Optional[str] = None, use_ssl: Optional[bool] = True, verify: Union[str, bool, None] = None, endpoint_url: Optional[str] = None, aws_access_key_id: Optional[st... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.s3_directory.S3DirectoryLoader.html |
12f6cf41da9c-3 | client. Normally, botocore will automatically construct the
appropriate URL to use when communicating with a service. You can
specify a complete URL (including the “http/https” scheme) to
override this behavior. If this value is provided, then
use_ssl is ignored.
aws_access_key_id – The access key to use when creati... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.s3_directory.S3DirectoryLoader.html |
92d3b1a14971-0 | langchain.document_loaders.notebook.NotebookLoader¶
class langchain.document_loaders.notebook.NotebookLoader(path: str, include_outputs: bool = False, max_output_length: int = 10, remove_newline: bool = False, traceback: bool = False)[source]¶
Load Jupyter notebook (.ipynb) files.
Initialize with a path.
Parameters
pat... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.notebook.NotebookLoader.html |
92d3b1a14971-1 | load() → List[Document][source]¶
Load documents.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to RecursiveCharacterTextSplit... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.notebook.NotebookLoader.html |
6aa78d83afb1-0 | langchain.document_loaders.parsers.language.language_parser.LanguageParser¶
class langchain.document_loaders.parsers.language.language_parser.LanguageParser(language: Optional[Language] = None, parser_threshold: int = 0)[source]¶
Parse using the respective programming language syntax.
Each top-level function and class ... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.language.language_parser.LanguageParser.html |
6aa78d83afb1-1 | Parameters
language – If None (default), it will try to infer language from source.
parser_threshold – Minimum lines needed to activate parsing (0 by default).
Methods
__init__([language, parser_threshold])
Language parser that split code using the respective language syntax.
lazy_parse(blob)
Lazy parsing interface.
pa... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.language.language_parser.LanguageParser.html |
fd0d822e6766-0 | langchain.document_loaders.airbyte.AirbyteCDKLoader¶
class langchain.document_loaders.airbyte.AirbyteCDKLoader(config: Mapping[str, Any], source_class: Any, stream_name: str, record_handler: Optional[Callable[[Any, Optional[str]], Document]] = None, state: Optional[Any] = None)[source]¶
Load with an Airbyte source conn... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.airbyte.AirbyteCDKLoader.html |
fd0d822e6766-1 | state – The state to pass to the source connector. Defaults to None.
lazy_load() → Iterator[Document][source]¶
A lazy loader for Documents.
load() → List[Document][source]¶
Load data into Document objects.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunk... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.airbyte.AirbyteCDKLoader.html |
3cf6b4dcb5f4-0 | langchain.document_loaders.git.GitLoader¶
class langchain.document_loaders.git.GitLoader(repo_path: str, clone_url: Optional[str] = None, branch: Optional[str] = 'main', file_filter: Optional[Callable[[str], bool]] = None)[source]¶
Load Git repository files.
The Repository can be local on disk available at repo_path,
o... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.git.GitLoader.html |
3cf6b4dcb5f4-1 | file_filter – Optional. A function that takes a file path and returns
a boolean indicating whether to load the file. Defaults to None.
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document][source]¶
Load data into Document objects.
load_and_split(text_splitter: Optional[TextSplitter] = N... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.git.GitLoader.html |
d4bcf3124f90-0 | langchain.document_loaders.parsers.txt.TextParser¶
class langchain.document_loaders.parsers.txt.TextParser[source]¶
Parser for text blobs.
Methods
__init__()
lazy_parse(blob)
Lazily parse the blob.
parse(blob)
Eagerly parse the blob into a document or documents.
__init__()¶
lazy_parse(blob: Blob) → Iterator[Document][s... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.txt.TextParser.html |
54b0a6533dea-0 | langchain.document_loaders.rst.UnstructuredRSTLoader¶
class langchain.document_loaders.rst.UnstructuredRSTLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Load RST files using Unstructured.
You can run the loader in one of two modes: “single” and “elements”.
If you use “single” mode, th... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.rst.UnstructuredRSTLoader.html |
54b0a6533dea-1 | Defaults to “single”.
**unstructured_kwargs – Additional keyword arguments to pass
to unstructured.
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document]¶
Load file.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chun... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.rst.UnstructuredRSTLoader.html |
b2d5af655377-0 | langchain.document_loaders.blockchain.BlockchainType¶
class langchain.document_loaders.blockchain.BlockchainType(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]¶
Enumerator of the supported blockchains.
ETH_MAINNET = 'eth-mainnet'¶
ETH_GOERLI = 'eth-goerli'¶
POLYGON_MAINNET ... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.blockchain.BlockchainType.html |
dfa7aac51010-0 | langchain.document_loaders.csv_loader.UnstructuredCSVLoader¶
class langchain.document_loaders.csv_loader.UnstructuredCSVLoader(file_path: str, mode: str = 'single', **unstructured_kwargs: Any)[source]¶
Load CSV files using Unstructured.
Like other
Unstructured loaders, UnstructuredCSVLoader can be used in both
“single”... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.csv_loader.UnstructuredCSVLoader.html |
dfa7aac51010-1 | A lazy loader for Documents.
load() → List[Document]¶
Load file.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to RecursiveCh... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.csv_loader.UnstructuredCSVLoader.html |
db26d478359b-0 | langchain.document_loaders.concurrent.ConcurrentLoader¶
class langchain.document_loaders.concurrent.ConcurrentLoader(blob_loader: BlobLoader, blob_parser: BaseBlobParser, num_workers: int = 4)[source]¶
Load and pars Documents concurrently.
A generic document loader.
Parameters
blob_loader – A blob loader which knows ho... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.concurrent.ConcurrentLoader.html |
db26d478359b-1 | matching the glob will be loaded.
exclude – A list of patterns to exclude from the loader.
show_progress – Whether to show a progress bar or not (requires tqdm).
Proxies to the file system loader.
parser – A blob parser which knows how to parse blobs into documents
num_workers – Max number of concurrent workers to use.... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.concurrent.ConcurrentLoader.html |
4825a849e695-0 | langchain.document_loaders.docugami.DocugamiLoader¶
class langchain.document_loaders.docugami.DocugamiLoader[source]¶
Bases: BaseLoader, BaseModel
Load from Docugami.
To use, you should have the lxml python package installed.
Create a new model by parsing and validating input data from keyword arguments.
Raises Validat... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.docugami.DocugamiLoader.html |
4825a849e695-1 | Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creat... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.docugami.DocugamiLoader.html |
4825a849e695-2 | load() → List[Document][source]¶
Load documents.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting documents.
Defaults to RecursiveCharacterTextSplit... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.docugami.DocugamiLoader.html |
69060f855b88-0 | langchain.document_loaders.obs_directory.OBSDirectoryLoader¶
class langchain.document_loaders.obs_directory.OBSDirectoryLoader(bucket: str, endpoint: str, config: Optional[dict] = None, prefix: str = '')[source]¶
Load from Huawei OBS directory.
Initialize the OBSDirectoryLoader with the specified settings.
Parameters
b... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.obs_directory.OBSDirectoryLoader.html |
69060f855b88-1 | Methods
__init__(bucket, endpoint[, config, prefix])
Initialize the OBSDirectoryLoader with the specified settings.
lazy_load()
A lazy loader for Documents.
load()
Load documents.
load_and_split([text_splitter])
Load Documents and split into chunks.
__init__(bucket: str, endpoint: str, config: Optional[dict] = None, pr... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.obs_directory.OBSDirectoryLoader.html |
69060f855b88-2 | ```
config = {
“ak”: “your-access-key”,
“sk”: “your-secret-key”
directory_loader = OBSDirectoryLoader(“your-bucket-name”, “your-end-endpoint”, config, “your-prefix”)
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document][source]¶
Load documents.
load_and_split(text_splitter: Optional[Tex... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.obs_directory.OBSDirectoryLoader.html |
a413e9ed31e6-0 | langchain.document_loaders.pyspark_dataframe.PySparkDataFrameLoader¶
class langchain.document_loaders.pyspark_dataframe.PySparkDataFrameLoader(spark_session: Optional[SparkSession] = None, df: Optional[Any] = None, page_content_column: str = 'text', fraction_of_memory: float = 0.1)[source]¶
Load PySpark DataFrames.
Ini... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.pyspark_dataframe.PySparkDataFrameLoader.html |
a413e9ed31e6-1 | A lazy loader for document content.
load() → List[Document][source]¶
Load from the dataframe.
load_and_split(text_splitter: Optional[TextSplitter] = None) → List[Document]¶
Load Documents and split into chunks. Chunks are returned as Documents.
Parameters
text_splitter – TextSplitter instance to use for splitting docum... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.pyspark_dataframe.PySparkDataFrameLoader.html |
118a2e999139-0 | langchain.document_loaders.base.BaseLoader¶
class langchain.document_loaders.base.BaseLoader[source]¶
Interface for Document Loader.
Implementations should implement the lazy-loading method using generators
to avoid loading all Documents into memory at once.
The load method will remain as is for backwards compatibility... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.base.BaseLoader.html |
d05143b52603-0 | langchain.document_loaders.base_o365.fetch_mime_types¶
langchain.document_loaders.base_o365.fetch_mime_types(file_types: Sequence[_FileType]) → Dict[str, str][source]¶
Fetch the mime types for the specified file types. | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.base_o365.fetch_mime_types.html |
58061a06d61f-0 | langchain.document_loaders.airtable.AirtableLoader¶
class langchain.document_loaders.airtable.AirtableLoader(api_token: str, table_id: str, base_id: str)[source]¶
Load the Airtable tables.
Initialize with API token and the IDs for table and base
Attributes
api_token
Airtable API token.
table_id
Airtable table ID.
base_... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.airtable.AirtableLoader.html |
eb4889a27a3e-0 | langchain.document_loaders.dataframe.BaseDataFrameLoader¶
class langchain.document_loaders.dataframe.BaseDataFrameLoader(data_frame: Any, *, page_content_column: str = 'text')[source]¶
Initialize with dataframe object.
Parameters
data_frame – DataFrame object.
page_content_column – Name of the column containing the pag... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.dataframe.BaseDataFrameLoader.html |
5086be9adfe7-0 | langchain.document_loaders.tencent_cos_directory.TencentCOSDirectoryLoader¶
class langchain.document_loaders.tencent_cos_directory.TencentCOSDirectoryLoader(conf: Any, bucket: str, prefix: str = '')[source]¶
Load from Tencent Cloud COS directory.
Initialize with COS config, bucket and prefix.
:param conf(CosConfig): CO... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.tencent_cos_directory.TencentCOSDirectoryLoader.html |
801eb8a322a1-0 | langchain.document_loaders.parsers.docai.DocAIParser¶
class langchain.document_loaders.parsers.docai.DocAIParser(*, client: Optional[DocumentProcessorServiceClient] = None, location: Optional[str] = None, gcs_output_path: Optional[str] = None, processor_name: Optional[str] = None)[source]¶
Google Cloud Document AI pars... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.docai.DocAIParser.html |
801eb8a322a1-1 | Eagerly parse the blob into a document or documents.
parse_from_results(results)
__init__(*, client: Optional[DocumentProcessorServiceClient] = None, location: Optional[str] = None, gcs_output_path: Optional[str] = None, processor_name: Optional[str] = None)[source]¶
Initializes the parser.
Parameters
client – a Docume... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.docai.DocAIParser.html |
801eb8a322a1-2 | >>> results = parser.get_results(operations)
>>> docs = parser.parse_from_results(results)
docai_parse(blobs: Sequence[Blob], *, gcs_output_path: Optional[str] = None, processor_name: Optional[str] = None, batch_size: int = 1000, enable_native_pdf_parsing: bool = True, field_mask: Optional[str] = None) → List[Operation... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.docai.DocAIParser.html |
801eb8a322a1-3 | Parses a blob lazily using online processing.
Parameters
blob – a blob to parse.
enable_native_pdf_parsing – enable pdf embedded text extraction
field_mask – a comma-separated list of which fields to include in the
Document AI response.
suggested: “text,pages.pageNumber,pages.layout”
page_range – list of page numbers t... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.parsers.docai.DocAIParser.html |
708814a4bd57-0 | langchain.document_loaders.word_document.Docx2txtLoader¶
class langchain.document_loaders.word_document.Docx2txtLoader(file_path: str)[source]¶
Load DOCX file using docx2txt and chunks at character level.
Defaults to check for local file, but if the file is a web path, it will download it
to a temporary file, and use t... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.word_document.Docx2txtLoader.html |
b4b67ce2cdde-0 | langchain.document_loaders.reddit.RedditPostsLoader¶
class langchain.document_loaders.reddit.RedditPostsLoader(client_id: str, client_secret: str, user_agent: str, search_queries: Sequence[str], mode: str, categories: Sequence[str] = ['new'], number_posts: Optional[int] = 10)[source]¶
Load Reddit posts.
Read posts on a... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.reddit.RedditPostsLoader.html |
b4b67ce2cdde-1 | user_agent – Reddit user agent.
search_queries – The search queries.
mode – The mode.
categories – The categories. Default: [“new”]
number_posts – The number of posts. Default: 10
lazy_load() → Iterator[Document]¶
A lazy loader for Documents.
load() → List[Document][source]¶
Load reddits.
load_and_split(text_splitter: ... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.reddit.RedditPostsLoader.html |
f6d7b5601415-0 | langchain.document_loaders.hn.HNLoader¶
class langchain.document_loaders.hn.HNLoader(web_path: Union[str, Sequence[str]] = '', header_template: Optional[dict] = None, verify_ssl: bool = True, proxies: Optional[dict] = None, continue_on_failure: bool = False, autoset_encoding: bool = True, encoding: Optional[str] = None... | lang/api.python.langchain.com/en/latest/document_loaders/langchain.document_loaders.hn.HNLoader.html |
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