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495 | https://python.langchain.com/docs/integrations/document_loaders/github | ComponentsDocument loadersGitHubOn this pageGitHubThis notebooks shows how you can load issues and pull requests (PRs) for a given repository on GitHub. We will use the LangChain Python repository as an example.Setup access tokenTo access the GitHub API, you need a personal access token - you can set up yours here: ht... |
496 | https://python.langchain.com/docs/integrations/document_loaders/google_bigquery | ComponentsDocument loadersGoogle BigQueryOn this pageGoogle BigQueryGoogle BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery is a part of the Google Cloud Platform.Load a BigQuery query with one document per row.#!pip install google-cloud-... |
497 | https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_directory | ComponentsDocument loadersGoogle Cloud Storage DirectoryOn this pageGoogle Cloud Storage DirectoryGoogle Cloud Storage is a managed service for storing unstructured data.This covers how to load document objects from an Google Cloud Storage (GCS) directory (bucket).# !pip install google-cloud-storagefrom langchain.docum... |
498 | https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_file | ComponentsDocument loadersGoogle Cloud Storage FileGoogle Cloud Storage FileGoogle Cloud Storage is a managed service for storing unstructured data.This covers how to load document objects from an Google Cloud Storage (GCS) file object (blob).# !pip install google-cloud-storagefrom langchain.document_loaders import GCS... |
499 | https://python.langchain.com/docs/integrations/document_loaders/google_drive | ComponentsDocument loadersGoogle DriveOn this pageGoogle DriveGoogle Drive is a file storage and synchronization service developed by Google.This notebook covers how to load documents from Google Drive. Currently, only Google Docs are supported.PrerequisitesCreate a Google Cloud project or use an existing projectEnabl... |
500 | https://python.langchain.com/docs/integrations/document_loaders/grobid | ComponentsDocument loadersGrobidGrobidGROBID is a machine learning library for extracting, parsing, and re-structuring raw documents.It is designed and expected to be used to parse academic papers, where it works particularly well. Note: if the articles supplied to Grobid are large documents (e.g. dissertations) exceed... |
501 | https://python.langchain.com/docs/integrations/document_loaders/gutenberg | ComponentsDocument loadersGutenbergGutenbergProject Gutenberg is an online library of free eBooks.This notebook covers how to load links to Gutenberg e-books into a document format that we can use downstream.from langchain.document_loaders import GutenbergLoaderloader = GutenbergLoader("https://www.gutenberg.org/cache/... |
502 | https://python.langchain.com/docs/integrations/document_loaders/hacker_news | ComponentsDocument loadersHacker NewsHacker NewsHacker News (sometimes abbreviated as HN) is a social news website focusing on computer science and entrepreneurship. It is run by the investment fund and startup incubator Y Combinator. In general, content that can be submitted is defined as "anything that gratifies one'... |
503 | https://python.langchain.com/docs/integrations/document_loaders/huawei_obs_directory | ComponentsDocument loadersHuawei OBS DirectoryOn this pageHuawei OBS DirectoryThe following code demonstrates how to load objects from the Huawei OBS (Object Storage Service) as documents.# Install the required package# pip install esdk-obs-pythonfrom langchain.document_loaders import OBSDirectoryLoaderendpoint = "your... |
504 | https://python.langchain.com/docs/integrations/document_loaders/huawei_obs_file | ComponentsDocument loadersHuawei OBS FileOn this pageHuawei OBS FileThe following code demonstrates how to load an object from the Huawei OBS (Object Storage Service) as document.# Install the required package# pip install esdk-obs-pythonfrom langchain.document_loaders.obs_file import OBSFileLoaderendpoint = "your-endp... |
505 | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset | ComponentsDocument loadersHuggingFace datasetOn this pageHuggingFace datasetThe Hugging Face Hub is home to over 5,000 datasets in more than 100 languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. They used for a diverse range of tasks such as translation,
automatic speech reco... |
506 | https://python.langchain.com/docs/integrations/document_loaders/ifixit | ComponentsDocument loadersiFixitOn this pageiFixitiFixit is the largest, open repair community on the web. The site contains nearly 100k repair manuals, 200k Questions & Answers on 42k devices, and all the data is licensed under CC-BY-NC-SA 3.0.This loader will allow you to download the text of a repair guide, text of ... |
507 | https://python.langchain.com/docs/integrations/document_loaders/image | ComponentsDocument loadersImagesOn this pageImagesThis covers how to load images such as JPG or PNG into a document format that we can use downstream.Using Unstructured#!pip install pdfminerfrom langchain.document_loaders.image import UnstructuredImageLoaderloader = UnstructuredImageLoader("layout-parser-paper-fast.jp... |
508 | https://python.langchain.com/docs/integrations/document_loaders/image_captions | ComponentsDocument loadersImage captionsOn this pageImage captionsBy default, the loader utilizes the pre-trained Salesforce BLIP image captioning model.This notebook shows how to use the ImageCaptionLoader to generate a query-able index of image captions#!pip install transformersfrom langchain.document_loaders import ... |
509 | https://python.langchain.com/docs/integrations/document_loaders/imsdb | ComponentsDocument loadersIMSDbIMSDbIMSDb is the Internet Movie Script Database.This covers how to load IMSDb webpages into a document format that we can use downstream.from langchain.document_loaders import IMSDbLoaderloader = IMSDbLoader("https://imsdb.com/scripts/BlacKkKlansman.html")data = loader.load()data[0].page... |
510 | https://python.langchain.com/docs/integrations/document_loaders/iugu | ComponentsDocument loadersIuguIuguIugu is a Brazilian services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.This notebook covers how to load data from the Iugu REST API into a format that can be ing... |
511 | https://python.langchain.com/docs/integrations/document_loaders/joplin | ComponentsDocument loadersJoplinJoplinJoplin is an open source note-taking app. Capture your thoughts and securely access them from any device.This notebook covers how to load documents from a Joplin database.Joplin has a REST API for accessing its local database. This loader uses the API to retrieve all notes in the d... |
512 | https://python.langchain.com/docs/integrations/document_loaders/jupyter_notebook | ComponentsDocument loadersJupyter NotebookJupyter NotebookJupyter Notebook (formerly IPython Notebook) is a web-based interactive computational environment for creating notebook documents.This notebook covers how to load data from a Jupyter notebook (.html) into a format suitable by LangChain.from langchain.document_lo... |
513 | https://python.langchain.com/docs/integrations/document_loaders/larksuite | ComponentsDocument loadersLarkSuite (FeiShu)LarkSuite (FeiShu)LarkSuite is an enterprise collaboration platform developed by ByteDance.This notebook covers how to load data from the LarkSuite REST API into a format that can be ingested into LangChain, along with example usage for text summarization.The LarkSuite API re... |
514 | https://python.langchain.com/docs/integrations/document_loaders/mastodon | ComponentsDocument loadersMastodonMastodonMastodon is a federated social media and social networking service.This loader fetches the text from the "toots" of a list of Mastodon accounts, using the Mastodon.py Python package.Public accounts can the queried by default without any authentication. If non-public accounts or... |
515 | https://python.langchain.com/docs/integrations/document_loaders/mediawikidump | ComponentsDocument loadersMediaWiki DumpMediaWiki DumpMediaWiki XML Dumps contain the content of a wiki (wiki pages with all their revisions), without the site-related data. A XML dump does not create a full backup of the wiki database, the dump does not contain user accounts, images, edit logs, etc.This covers how to ... |
516 | https://python.langchain.com/docs/integrations/document_loaders/merge_doc | ComponentsDocument loadersMerge Documents LoaderMerge Documents LoaderMerge the documents returned from a set of specified data loaders.from langchain.document_loaders import WebBaseLoaderloader_web = WebBaseLoader( "https://github.com/basecamp/handbook/blob/master/37signals-is-you.md")from langchain.document_loader... |
517 | https://python.langchain.com/docs/integrations/document_loaders/mhtml | ComponentsDocument loadersmhtmlmhtmlMHTML is a is used both for emails but also for archived webpages. MHTML, sometimes referred as MHT, stands for MIME HTML is a single file in which entire webpage is archived. When one saves a webpage as MHTML format, this file extension will contain HTML code, images, audio files, f... |
518 | https://python.langchain.com/docs/integrations/document_loaders/microsoft_onedrive | ComponentsDocument loadersMicrosoft OneDriveOn this pageMicrosoft OneDriveMicrosoft OneDrive (formerly SkyDrive) is a file hosting service operated by Microsoft.This notebook covers how to load documents from OneDrive. Currently, only docx, doc, and pdf files are supported.PrerequisitesRegister an application with the... |
519 | https://python.langchain.com/docs/integrations/document_loaders/microsoft_powerpoint | ComponentsDocument loadersMicrosoft PowerPointOn this pageMicrosoft PowerPointMicrosoft PowerPoint is a presentation program by Microsoft.This covers how to load Microsoft PowerPoint documents into a document format that we can use downstream.from langchain.document_loaders import UnstructuredPowerPointLoaderloader = U... |
520 | https://python.langchain.com/docs/integrations/document_loaders/microsoft_sharepoint | ComponentsDocument loadersMicrosoft SharePointOn this pageMicrosoft SharePointMicrosoft SharePoint is a website-based collaboration system that uses workflow applications, “list” databases, and other web parts and security features to empower business teams to work together developed by Microsoft.This notebook covers h... |
521 | https://python.langchain.com/docs/integrations/document_loaders/microsoft_word | ComponentsDocument loadersMicrosoft WordOn this pageMicrosoft WordMicrosoft Word is a word processor developed by Microsoft.This covers how to load Word documents into a document format that we can use downstream.Using Docx2txtLoad .docx using Docx2txt into a document.pip install docx2txtfrom langchain.document_loader... |
522 | https://python.langchain.com/docs/integrations/document_loaders/modern_treasury | ComponentsDocument loadersModern TreasuryModern TreasuryModern Treasury simplifies complex payment operations. It is a unified platform to power products and processes that move money.Connect to banks and payment systemsTrack transactions and balances in real-timeAutomate payment operations for scaleThis notebook cover... |
523 | https://python.langchain.com/docs/integrations/document_loaders/mongodb | ComponentsDocument loadersMongoDBOn this pageMongoDBMongoDB is a NoSQL , document-oriented database that supports JSON-like documents with a dynamic schema.OverviewThe MongoDB Document Loader returns a list of Langchain Documents from a MongoDB database.The Loader requires the following parameters:MongoDB connection s... |
524 | https://python.langchain.com/docs/integrations/document_loaders/news | ComponentsDocument loadersNews URLNews URLThis covers how to load HTML news articles from a list of URLs into a document format that we can use downstream.from langchain.document_loaders import NewsURLLoaderurls = [ "https://www.bbc.com/news/world-us-canada-66388172", "https://www.bbc.com/news/entertainment-arts-... |
525 | https://python.langchain.com/docs/integrations/document_loaders/notion | ComponentsDocument loadersNotion DB 1/2On this pageNotion DB 1/2Notion is a collaboration platform with modified Markdown support that integrates kanban boards, tasks, wikis and databases. It is an all-in-one workspace for notetaking, knowledge and data management, and project and task management.This notebook covers h... |
526 | https://python.langchain.com/docs/integrations/document_loaders/notiondb | ComponentsDocument loadersNotion DB 2/2On this pageNotion DB 2/2Notion is a collaboration platform with modified Markdown support that integrates kanban boards, tasks, wikis and databases. It is an all-in-one workspace for notetaking, knowledge and data management, and project and task management.NotionDBLoader is a Py... |
527 | https://python.langchain.com/docs/integrations/document_loaders/nuclia | ComponentsDocument loadersNucliaOn this pageNucliaNuclia 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.The Nuclia Understanding API... |
528 | https://python.langchain.com/docs/integrations/document_loaders/obsidian | ComponentsDocument loadersObsidianObsidianObsidian is a powerful and extensible knowledge base
that works on top of your local folder of plain text files.This notebook covers how to load documents from an Obsidian database.Since Obsidian is just stored on disk as a folder of Markdown files, the loader just takes a path... |
529 | https://python.langchain.com/docs/integrations/document_loaders/odt | ComponentsDocument loadersOpen Document Format (ODT)Open Document Format (ODT)The Open Document Format for Office Applications (ODF), also known as OpenDocument, is an open file format for word processing documents, spreadsheets, presentations and graphics and using ZIP-compressed XML files. It was developed with the a... |
530 | https://python.langchain.com/docs/integrations/document_loaders/open_city_data | ComponentsDocument loadersOpen City DataOpen City DataSocrata provides an API for city open data. For a dataset such as SF crime, to to the API tab on top right. That provides you with the dataset identifier.Use the dataset identifier to grab specific tables for a given city_id (data.sfgov.org) - E.g., vw6y-z8j6 for SF... |
531 | https://python.langchain.com/docs/integrations/document_loaders/org_mode | ComponentsDocument loadersOrg-modeOn this pageOrg-modeA Org Mode document is a document editing, formatting, and organizing mode, designed for notes, planning, and authoring within the free software text editor Emacs.UnstructuredOrgModeLoaderYou can load data from Org-mode files with UnstructuredOrgModeLoader using th... |
532 | https://python.langchain.com/docs/integrations/document_loaders/pandas_dataframe | ComponentsDocument loadersPandas DataFramePandas DataFrameThis notebook goes over how to load data from a pandas DataFrame.#!pip install pandasimport pandas as pddf = pd.read_csv("example_data/mlb_teams_2012.csv")df.head()<div><style scoped> .dataframe tbody tr th:only-of-type { vertical-align: middle; } ... |
533 | https://python.langchain.com/docs/integrations/document_loaders/pdf-amazonTextractPDFLoader | ComponentsDocument loadersAmazon TextractOn this pageAmazon TextractAmazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. It goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables... |
534 | https://python.langchain.com/docs/integrations/document_loaders/polars_dataframe | ComponentsDocument loadersPolars DataFramePolars DataFrameThis notebook goes over how to load data from a polars DataFrame.#!pip install polarsimport polars as pldf = pl.read_csv("example_data/mlb_teams_2012.csv")df.head()<div><style>.dataframe > thead > tr > th,.dataframe > tbody > tr > td { text-align: right;}</styl... |
535 | https://python.langchain.com/docs/integrations/document_loaders/psychic | ComponentsDocument loadersPsychicOn this pagePsychicThis notebook covers how to load documents from Psychic. See here for more details.PrerequisitesFollow the Quick Start section in this documentLog into the Psychic dashboard and get your secret keyInstall the frontend react library into your web app and have a user a... |
536 | https://python.langchain.com/docs/integrations/document_loaders/pubmed | ComponentsDocument loadersPubMedPubMedPubMed® by The National Center for Biotechnology Information, National Library of Medicine comprises more than 35 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full text content from PubMed Central ... |
537 | https://python.langchain.com/docs/integrations/document_loaders/pyspark_dataframe | ComponentsDocument loadersPySparkPySparkThis notebook goes over how to load data from a PySpark DataFrame.#!pip install pysparkfrom pyspark.sql import SparkSessionspark = SparkSession.builder.getOrCreate() Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use s... |
538 | https://python.langchain.com/docs/integrations/document_loaders/readthedocs_documentation | ComponentsDocument loadersReadTheDocs DocumentationReadTheDocs DocumentationRead the Docs is an open-sourced free software documentation hosting platform. It generates documentation written with the Sphinx documentation generator.This notebook covers how to load content from HTML that was generated as part of a Read-Th... |
539 | https://python.langchain.com/docs/integrations/document_loaders/recursive_url | ComponentsDocument loadersRecursive URLRecursive URLWe may want to process load all URLs under a root directory.For example, let's look at the Python 3.9 Document.This has many interesting child pages that we may want to read in bulk.Of course, the WebBaseLoader can load a list of pages. But, the challenge is traversin... |
540 | https://python.langchain.com/docs/integrations/document_loaders/reddit | ComponentsDocument loadersRedditRedditReddit is an American social news aggregation, content rating, and discussion website.This loader fetches the text from the Posts of Subreddits or Reddit users, using the praw Python package.Make a Reddit Application and initialize the loader with with your Reddit API credentials.f... |
541 | https://python.langchain.com/docs/integrations/document_loaders/roam | ComponentsDocument loadersRoamOn this pageRoamROAM is a note-taking tool for networked thought, designed to create a personal knowledge base.This notebook covers how to load documents from a Roam database. This takes a lot of inspiration from the example repo here.🧑 Instructions for ingesting your own datasetExport y... |
542 | https://python.langchain.com/docs/integrations/document_loaders/rockset | ComponentsDocument loadersRocksetOn this pageRocksetRockset is a real-time analytics database which enables queries on massive, semi-structured data without operational burden. With Rockset, ingested data is queryable within one second and analytical queries against that data typically execute in milliseconds. Rockset ... |
543 | https://python.langchain.com/docs/integrations/document_loaders/rss | ComponentsDocument loadersRSS FeedsRSS FeedsThis covers how to load HTML news articles from a list of RSS feed URLs into a document format that we can use downstream.pip install feedparser newspaper3k listparserfrom langchain.document_loaders import RSSFeedLoaderurls = ["https://news.ycombinator.com/rss"]Pass in urls t... |
544 | https://python.langchain.com/docs/integrations/document_loaders/rst | ComponentsDocument loadersRSTOn this pageRSTA reStructured Text (RST) file is a file format for textual data used primarily in the Python programming language community for technical documentation.UnstructuredRSTLoaderYou can load data from RST files with UnstructuredRSTLoader using the following workflow.from langcha... |
545 | https://python.langchain.com/docs/integrations/document_loaders/sitemap | ComponentsDocument loadersSitemapOn this pageSitemapExtends from the WebBaseLoader, SitemapLoader loads a sitemap from a given URL, and then scrape and load all pages in the sitemap, returning each page as a Document.The scraping is done concurrently. There are reasonable limits to concurrent requests, defaulting to 2... |
546 | https://python.langchain.com/docs/integrations/document_loaders/slack | ComponentsDocument loadersSlackOn this pageSlackSlack is an instant messaging program.This notebook covers how to load documents from a Zipfile generated from a Slack export.In order to get this Slack export, follow these instructions:🧑 Instructions for ingesting your own datasetExport your Slack data. You can do thi... |
547 | https://python.langchain.com/docs/integrations/document_loaders/snowflake | ComponentsDocument loadersSnowflakeSnowflakeThis notebooks goes over how to load documents from Snowflakepip install snowflake-connector-pythonimport settings as sfrom langchain.document_loaders import SnowflakeLoaderQUERY = "select text, survey_id from CLOUD_DATA_SOLUTIONS.HAPPY_OR_NOT.OPEN_FEEDBACK limit 10"snowflake... |
548 | https://python.langchain.com/docs/integrations/document_loaders/source_code | ComponentsDocument loadersSource CodeOn this pageSource CodeThis notebook covers how to load source code files using a special approach with language parsing: each top-level function and class in the code is loaded into separate documents. Any remaining code top-level code outside the already loaded functions and class... |
549 | https://python.langchain.com/docs/integrations/document_loaders/spreedly | ComponentsDocument loadersSpreedlySpreedlySpreedly is a service that allows you to securely store credit cards and use them to transact against any number of payment gateways and third party APIs. It does this by simultaneously providing a card tokenization/vault service as well as a gateway and receiver integration se... |
550 | https://python.langchain.com/docs/integrations/document_loaders/stripe | ComponentsDocument loadersStripeStripeStripe is an Irish-American financial services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.This notebook covers how to load data from the Stripe REST API into ... |
551 | https://python.langchain.com/docs/integrations/document_loaders/subtitle | ComponentsDocument loadersSubtitleSubtitleThe SubRip file format is described on the Matroska multimedia container format website as "perhaps the most basic of all subtitle formats." SubRip (SubRip Text) files are named with the extension .srt, and contain formatted lines of plain text in groups separated by a blank li... |
552 | https://python.langchain.com/docs/integrations/document_loaders/telegram | ComponentsDocument loadersTelegramTelegramTelegram Messenger is a globally accessible freemium, cross-platform, encrypted, cloud-based and centralized instant messaging service. The application also provides optional end-to-end encrypted chats and video calling, VoIP, file sharing and several other features.This notebo... |
553 | https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_directory | ComponentsDocument loadersTencent COS DirectoryOn this pageTencent COS DirectoryThis covers how to load document objects from a Tencent COS Directory.#! pip install cos-python-sdk-v5from langchain.document_loaders import TencentCOSDirectoryLoaderfrom qcloud_cos import CosConfigconf = CosConfig( Region="your cos regi... |
554 | https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_file | ComponentsDocument loadersTencent COS FileTencent COS FileThis covers how to load document object from a Tencent COS File.#! pip install cos-python-sdk-v5from langchain.document_loaders import TencentCOSFileLoaderfrom qcloud_cos import CosConfigconf = CosConfig( Region="your cos region", SecretId="your cos secret... |
555 | https://python.langchain.com/docs/integrations/document_loaders/tensorflow_datasets | ComponentsDocument loadersTensorFlow DatasetsOn this pageTensorFlow DatasetsTensorFlow Datasets is a collection of datasets ready to use, with TensorFlow or other Python ML frameworks, such as Jax. All datasets are exposed as tf.data.Datasets, enabling easy-to-use and high-performance input pipelines. To get started se... |
556 | https://python.langchain.com/docs/integrations/document_loaders/tomarkdown | ComponentsDocument loaders2Markdown2Markdown2markdown service transforms website content into structured markdown files.# You will need to get your own API key. See https://2markdown.com/loginapi_key = ""from langchain.document_loaders import ToMarkdownLoaderloader = ToMarkdownLoader.from_api_key( url="https://pytho... |
557 | https://python.langchain.com/docs/integrations/document_loaders/toml | ComponentsDocument loadersTOMLTOMLTOML is a file format for configuration files. It is intended to be easy to read and write, and is designed to map unambiguously to a dictionary. Its specification is open-source. TOML is implemented in many programming languages. The name TOML is an acronym for "Tom's Obvious, Minimal... |
558 | https://python.langchain.com/docs/integrations/document_loaders/trello | ComponentsDocument loadersTrelloOn this pageTrelloTrello is a web-based project management and collaboration tool that allows individuals and teams to organize and track their tasks and projects. It provides a visual interface known as a "board" where users can create lists and cards to represent their tasks and activi... |
559 | https://python.langchain.com/docs/integrations/document_loaders/tsv | ComponentsDocument loadersTSVOn this pageTSVA tab-separated values (TSV) file is a simple, text-based file format for storing tabular data.[3] Records are separated by newlines, and values within a record are separated by tab characters.UnstructuredTSVLoaderYou can also load the table using the UnstructuredTSVLoader. ... |
560 | https://python.langchain.com/docs/integrations/document_loaders/twitter | ComponentsDocument loadersTwitterTwitterTwitter is an online social media and social networking service.This loader fetches the text from the Tweets of a list of Twitter users, using the tweepy Python package.
You must initialize the loader with your Twitter API token, and you need to pass in the Twitter username you w... |
561 | https://python.langchain.com/docs/integrations/document_loaders/unstructured_file | ComponentsDocument loadersUnstructured FileOn this pageUnstructured FileThis notebook covers how to use Unstructured package to load files of many types. Unstructured currently supports loading of text files, powerpoints, html, pdfs, images, and more.# # Install packagepip install "unstructured[all-docs]"# # Install ot... |
562 | https://python.langchain.com/docs/integrations/document_loaders/url | ComponentsDocument loadersURLOn this pageURLThis covers how to load HTML documents from a list of URLs into a document format that we can use downstream.from langchain.document_loaders import UnstructuredURLLoaderurls = [ "https://www.understandingwar.org/backgrounder/russian-offensive-campaign-assessment-february-8... |
563 | https://python.langchain.com/docs/integrations/document_loaders/weather | ComponentsDocument loadersWeatherWeatherOpenWeatherMap is an open source weather service providerThis loader fetches the weather data from the OpenWeatherMap's OneCall API, using the pyowm Python package. You must initialize the loader with your OpenWeatherMap API token and the names of the cities you want the weather ... |
564 | https://python.langchain.com/docs/integrations/document_loaders/web_base | ComponentsDocument loadersWebBaseLoaderOn this pageWebBaseLoaderThis covers how to use WebBaseLoader to load all text from HTML webpages into a document format that we can use downstream. For more custom logic for loading webpages look at some child class examples such as IMSDbLoader, AZLyricsLoader, and CollegeConfide... |
565 | https://python.langchain.com/docs/integrations/document_loaders/whatsapp_chat | ComponentsDocument loadersWhatsApp ChatWhatsApp ChatWhatsApp (also called WhatsApp Messenger) is a freeware, cross-platform, centralized instant messaging (IM) and voice-over-IP (VoIP) service. It allows users to send text and voice messages, make voice and video calls, and share images, documents, user locations, and ... |
566 | https://python.langchain.com/docs/integrations/document_loaders/wikipedia | ComponentsDocument loadersWikipediaOn this pageWikipediaWikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWiki. Wikipedia is the largest and most-read reference work... |
567 | https://python.langchain.com/docs/integrations/document_loaders/xml | ComponentsDocument loadersXMLXMLThe UnstructuredXMLLoader is used to load XML files. The loader works with .xml files. The page content will be the text extracted from the XML tags.from langchain.document_loaders import UnstructuredXMLLoaderloader = UnstructuredXMLLoader( "example_data/factbook.xml",)docs = loader.l... |
568 | https://python.langchain.com/docs/integrations/document_loaders/xorbits | ComponentsDocument loadersXorbits Pandas DataFrameXorbits Pandas DataFrameThis notebook goes over how to load data from a xorbits.pandas DataFrame.#!pip install xorbitsimport xorbits.pandas as pddf = pd.read_csv("example_data/mlb_teams_2012.csv")df.head() 0%| | 0.00/100 [00:00<?, ?it/s]<div><style scoped> ... |
569 | https://python.langchain.com/docs/integrations/document_loaders/youtube_audio | ComponentsDocument loadersYouTube audioOn this pageYouTube audioBuilding chat or QA applications on YouTube videos is a topic of high interest.Below we show how to easily go from a YouTube url to audio of the video to text to chat!We wil use the OpenAIWhisperParser, which will use the OpenAI Whisper API to transcribe a... |
570 | https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript | ComponentsDocument loadersYouTube transcriptsOn this pageYouTube transcriptsYouTube is an online video sharing and social media platform created by Google.This notebook covers how to load documents from YouTube transcripts.from langchain.document_loaders import YoutubeLoader# !pip install youtube-transcript-apiloader =... |
571 | https://python.langchain.com/docs/integrations/document_transformers | ComponentsDocument transformersDocument transformers📄️ Beautiful SoupBeautiful Soup is a Python package for parsing📄️ Google Cloud Document AIDocument AI is a document understanding platform from Google Cloud to transform unstructured data from documents into structured data, making it easier to understand, analyze, ... |
572 | https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup | ComponentsDocument transformersBeautiful SoupBeautiful SoupBeautiful Soup is a Python package for parsing
HTML and XML documents (including having malformed markup, i.e. non-closed tags, so named after tag soup).
It creates a parse tree for parsed pages that can be used to extract data from HTML,[3] which
is useful for... |
573 | https://python.langchain.com/docs/integrations/document_transformers/docai | ComponentsDocument transformersGoogle Cloud Document AIGoogle Cloud Document AIDocument AI is a document understanding platform from Google Cloud to transform unstructured data from documents into structured data, making it easier to understand, analyze, and consume.Learn more:Document AI overviewDocument AI videos and... |
574 | https://python.langchain.com/docs/integrations/document_transformers/doctran_extract_properties | ComponentsDocument transformersDoctran: extract propertiesOn this pageDoctran: extract propertiesWe can extract useful features of documents using the Doctran library, which uses OpenAI's function calling feature to extract specific metadata.Extracting metadata from documents is helpful for a variety of tasks, includin... |
575 | https://python.langchain.com/docs/integrations/document_transformers/doctran_interrogate_document | ComponentsDocument transformersDoctran: interrogate documentsOn this pageDoctran: interrogate documentsDocuments used in a vector store knowledge base are typically stored in a narrative or conversational format. However, most user queries are in question format. If we convert documents into Q&A format before vectorizi... |
576 | https://python.langchain.com/docs/integrations/document_transformers/doctran_translate_document | ComponentsDocument transformersDoctran: language translationOn this pageDoctran: language translationComparing documents through embeddings has the benefit of working across multiple languages. "Harrison says hello" and "Harrison dice hola" will occupy similar positions in the vector space because they have the same me... |
577 | https://python.langchain.com/docs/integrations/document_transformers/html2text | ComponentsDocument transformersHTML to textHTML to texthtml2text is a Python package that converts a page of HTML into clean, easy-to-read plain ASCII text. The ASCII also happens to be a valid Markdown (a text-to-HTML format).pip install html2textfrom langchain.document_loaders import AsyncHtmlLoaderurls = ["https://w... |
578 | https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer | 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 t... |
579 | https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger | ComponentsDocument transformersOpenAI metadata taggerOn this pageOpenAI metadata taggerIt can often be useful to tag ingested documents with structured metadata, such as the title, tone, or length of a document, to allow for a more targeted similarity search later. However, for large numbers of documents, performing th... |
580 | https://python.langchain.com/docs/integrations/text_embedding | ComponentsText embedding modelsText embedding models📄️ Aleph AlphaThere are two possible ways to use Aleph Alpha's semantic embeddings. If you have texts with a dissimilar structure (e.g. a Document and a Query) you would want to use asymmetric embeddings. Conversely, for texts with comparable structures, symmetric em... |
581 | https://python.langchain.com/docs/integrations/text_embedding/aleph_alpha | ComponentsText embedding modelsAleph AlphaOn this pageAleph AlphaThere are two possible ways to use Aleph Alpha's semantic embeddings. If you have texts with a dissimilar structure (e.g. a Document and a Query) you would want to use asymmetric embeddings. Conversely, for texts with comparable structures, symmetric embe... |
582 | https://python.langchain.com/docs/integrations/text_embedding/awadb | ComponentsText embedding modelsAwaDBOn this pageAwaDBAwaDB is an AI Native database for the search and storage of embedding vectors used by LLM Applications.This notebook explains how to use AwaEmbeddings in LangChain.# pip install awadbimport the libraryfrom langchain.embeddings import AwaEmbeddingsEmbedding = AwaEmb... |
583 | https://python.langchain.com/docs/integrations/text_embedding/azureopenai | ComponentsText embedding modelsAzureOpenAIAzureOpenAILet's load the OpenAI Embedding class with environment variables set to indicate to use Azure endpoints.# set the environment variables needed for openai package to know to reach out to azureimport osos.environ["OPENAI_API_TYPE"] = "azure"os.environ["OPENAI_API_BASE"... |
584 | https://python.langchain.com/docs/integrations/text_embedding/baidu_qianfan_endpoint | ComponentsText embedding modelsBaidu QianfanOn this pageBaidu QianfanBaidu AI Cloud Qianfan Platform is a one-stop large model development and service operation platform for enterprise developers. Qianfan not only provides including the model of Wenxin Yiyan (ERNIE-Bot) and the third-party open source models, but also ... |
585 | https://python.langchain.com/docs/integrations/text_embedding/bedrock | ComponentsText embedding modelsBedrockBedrockAmazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.%pip install boto3from langchain.embeddings import BedrockEmb... |
586 | https://python.langchain.com/docs/integrations/text_embedding/bge_huggingface | ComponentsText embedding modelsBGE on Hugging FaceBGE on Hugging FaceBGE models on the HuggingFace are the best open-source embedding models.
BGE model is created by the Beijing Academy of Artificial Intelligence (BAAI). BAAI is a private non-profit organization engaged in AI research and development.This notebook show... |
587 | https://python.langchain.com/docs/integrations/text_embedding/clarifai | ComponentsText embedding modelsClarifaiClarifaiClarifai is an AI Platform that provides the full AI lifecycle ranging from data exploration, data labeling, model training, evaluation, and inference.This example goes over how to use LangChain to interact with Clarifai models. Text embedding models in particular can be f... |
588 | https://python.langchain.com/docs/integrations/text_embedding/cohere | ComponentsText embedding modelsCohereCohereLet's load the Cohere Embedding class.from langchain.embeddings import CohereEmbeddingsembeddings = CohereEmbeddings(cohere_api_key=cohere_api_key)text = "This is a test document."query_result = embeddings.embed_query(text)doc_result = embeddings.embed_documents([text])Previou... |
589 | https://python.langchain.com/docs/integrations/text_embedding/dashscope | ComponentsText embedding modelsDashScopeDashScopeLet's load the DashScope Embedding class.from langchain.embeddings import DashScopeEmbeddingsembeddings = DashScopeEmbeddings( model="text-embedding-v1", dashscope_api_key="your-dashscope-api-key")text = "This is a test document."query_result = embeddings.embed_query(... |
590 | https://python.langchain.com/docs/integrations/text_embedding/deepinfra | ComponentsText embedding modelsDeepInfraDeepInfraDeepInfra is a serverless inference as a service that provides access to a variety of LLMs and embeddings models. This notebook goes over how to use LangChain with DeepInfra for text embeddings.# sign up for an account: https://deepinfra.com/login?utm_source=langchainfro... |
591 | https://python.langchain.com/docs/integrations/text_embedding/edenai | ComponentsText embedding modelsEDEN AIOn this pageEDEN AIEden AI is revolutionizing the AI landscape by uniting the best AI providers, empowering users to unlock limitless possibilities and tap into the true potential of artificial intelligence. With an all-in-one comprehensive and hassle-free platform, it allows users... |
592 | https://python.langchain.com/docs/integrations/text_embedding/elasticsearch | ComponentsText embedding modelsElasticsearchOn this pageElasticsearchWalkthrough of how to generate embeddings using a hosted embedding model in ElasticsearchThe easiest way to instantiate the ElasticsearchEmbeddings class it eitherusing the from_credentials constructor if you are using Elastic Cloudor using the from_e... |
593 | https://python.langchain.com/docs/integrations/text_embedding/embaas | ComponentsText embedding modelsEmbaasOn this pageEmbaasembaas is a fully managed NLP API service that offers features like embedding generation, document text extraction, document to embeddings and more. You can choose a variety of pre-trained models.In this tutorial, we will show you how to use the embaas Embeddings A... |
594 | https://python.langchain.com/docs/integrations/text_embedding/ernie | ComponentsText embedding modelsERNIE Embedding-V1ERNIE Embedding-V1ERNIE Embedding-V1 is a text representation model based on Baidu Wenxin's large-scale model technology,
which converts text into a vector form represented by numerical values, and is used in text retrieval, information recommendation, knowledge mining a... |
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