id stringlengths 14 16 | text stringlengths 29 2.73k | source stringlengths 49 117 |
|---|---|---|
db39d8c8d70c-4 | type of Data Augmented Generation.\nEvaluation: Generative models are notoriously hard to evaluate with traditional metrics. One new way of evaluating them is using language models themselves to do the evaluation. LangChain provides some prompts/chains for assisting in this.\nReference Docs\nAll of LangChain’s referenc... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
db39d8c8d70c-5 | template repositories for deploying LangChain apps.\nTracing: A guide on using tracing in LangChain to visualize the execution of chains and agents.\nModel Laboratory: Experimenting with different prompts, models, and chains is a big part of developing the best possible application. The ModelLaboratory makes it easy to... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
db39d8c8d70c-6 | previous
Confluence
next
Discord
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
93a80c809619-0 | .ipynb
.pdf
Modern Treasury
Modern Treasury#
Modern Treasury simplifies complex payment operations. It is a unified platform to power products and processes that move money.
Connect to banks and payment systems
Track transactions and balances in real-time
Automate payment operations for scale
This notebook covers how t... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/modern_treasury.html |
4f922327e043-0 | .ipynb
.pdf
Figma
Figma#
Figma is a collaborative web application for interface design.
This notebook covers how to load data from the Figma REST API into a format that can be ingested into LangChain, along with example usage for code generation.
import os
from langchain.document_loaders.figma import FigmaFileLoader
fr... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html |
4f922327e043-1 | # See https://python.langchain.com/en/latest/modules/models/chat/getting_started.html for chat info
system_prompt_template = """You are expert coder Jon Carmack. Use the provided design context to create idomatic HTML/CSS code as possible based on the user request.
Everything must be inline in one file and your... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html |
4f922327e043-2 | <!DOCTYPE html>\n<html lang="en">\n<head>\n <meta charset="UTF-8">\n <meta name="viewport" content="width=device-width, initial-scale=1.0">\n <style>\n @import url(\'https://fonts.googleapis.com/css2?family=DM+Sans:wght@500;700&family=Inter:wght@600&display=swap\');\n\n body {\n margin... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html |
4f922327e043-3 | font-weight: 700;\n margin: 0;\n }\n\n .header nav {\n display: flex;\n align-items: center;\n }\n\n .header nav a {\n font-size: 14px;\n font-weight: 500;\n text-decoration: none;\n color: #000;\n margin... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html |
4f922327e043-4 | Ipsum</a>\n <a href="#">Lorem Ipsum</a>\n <a href="#">Lorem Ipsum</a>\n </nav>\n </header>\n</body>\n</html> | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html |
4f922327e043-5 | previous
DuckDB
next
GitBook
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html |
a5251d346505-0 | .ipynb
.pdf
Discord
Discord#
Discord is a VoIP and instant messaging social platform. Users have the ability to communicate with voice calls, video calls, text messaging, media and files in private chats or as part of communities called “servers”. A server is a collection of persistent chat rooms and voice channels whi... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/discord_loader.html |
7d237bcb02d1-0 | .ipynb
.pdf
EPub
Contents
Retain Elements
EPub#
EPUB is an e-book file format that uses the “.epub” file extension. The term is short for electronic publication and is sometimes styled ePub. EPUB is supported by many e-readers, and compatible software is available for most smartphones, tablets, and computers.
This co... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/epub.html |
d7f73cc120dc-0 | .ipynb
.pdf
Azure Blob Storage File
Azure Blob Storage File#
Azure Files offers fully managed file shares in the cloud that are accessible via the industry standard Server Message Block (SMB) protocol, Network File System (NFS) protocol, and Azure Files REST API.
This covers how to load document objects from a Azure Fi... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azure_blob_storage_file.html |
a668e8370d90-0 | .ipynb
.pdf
Google Cloud Storage File
Google Cloud Storage File#
Google 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-storage
from langchain.document_loaders import GCSFileLoad... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/google_cloud_storage_file.html |
1f84a3c84afe-0 | .ipynb
.pdf
Git
Contents
Load existing repository from disk
Clone repository from url
Filtering files to load
Git#
Git is a distributed version control system that tracks changes in any set of computer files, usually used for coordinating work among programmers collaboratively developing source code during software d... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/git.html |
1f84a3c84afe-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/git.html |
668cff342c5e-0 | .ipynb
.pdf
Images
Contents
Using Unstructured
Retain Elements
Images#
This covers how to load images such as JPG or PNG into a document format that we can use downstream.
Using Unstructured#
#!pip install pdfminer
from langchain.document_loaders.image import UnstructuredImageLoader
loader = UnstructuredImageLoader("... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/image.html |
668cff342c5e-1 | Document(page_content="LayoutParser: A Unified Toolkit for Deep\nLearning Based Document Image Analysis\n\n\n‘Zxjiang Shen' (F3}, Ruochen Zhang”, Melissa Dell*, Benjamin Charles Germain\nLeet, Jacob Carlson, and Weining LiF\n\n\nsugehen\n\nshangthrows, et\n\n“Abstract. Recent advanocs in document image analysis (DIA) h... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/image.html |
668cff342c5e-2 | streamlining the sage of DL in DIA research and appicn\n‘tons The core LayoutFaraer brary comes with a sch of simple and\nIntative interfaee or applying and eutomiing DI. odel fr Inyo de\npltfom for sharing both protrined modes an fal document dist\n{ation pipeline We demonutate that LayootPareer shea fr both\nlightwei... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/image.html |
668cff342c5e-3 | Retain Elements#
Under the hood, Unstructured creates different “elements” for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying mode="elements".
loader = UnstructuredImageLoader("layout-parser-paper-fast.jpg", mode="elements")
data = loader.load()
dat... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/image.html |
26ace4760904-0 | .ipynb
.pdf
YouTube transcripts
Contents
Add video info
YouTube loader from Google Cloud
Prerequisites
🧑 Instructions for ingesting your Google Docs data
YouTube transcripts#
YouTube is an online video sharing and social media platform created by Google.
This notebook covers how to load documents from YouTube transc... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/youtube_transcript.html |
26ace4760904-1 | google_api_client = GoogleApiClient(credentials_path=Path("your_path_creds.json"))
# Use a Channel
youtube_loader_channel = GoogleApiYoutubeLoader(google_api_client=google_api_client, channel_name="Reducible",captions_language="en")
# Use Youtube Ids
youtube_loader_ids = GoogleApiYoutubeLoader(google_api_client=google_... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/youtube_transcript.html |
bd41f53e552e-0 | .ipynb
.pdf
Notion DB 1/2
Contents
🧑 Instructions for ingesting your own dataset
Notion DB 1/2#
Notion 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 tas... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/notion.html |
edaf42837932-0 | .ipynb
.pdf
EverNote
EverNote#
EverNote is intended for archiving and creating notes in which photos, audio and saved web content can be embedded. Notes are stored in virtual “notebooks” and can be tagged, annotated, edited, searched, and exported.
This notebook shows how to load an Evernote export file (.enex) from di... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/evernote.html |
edaf42837932-1 | Document(page_content='**Jan - March 2022**', metadata={'title': 'Summer Training Program', 'created': time.struct_time(tm_year=2022, tm_mon=12, tm_mday=27, tm_hour=1, tm_min=59, tm_sec=48, tm_wday=1, tm_yday=361, tm_isdst=-1), 'note-attributes.author': 'Mike McGarry', 'note-attributes.source': 'mobile.iphone', 'source... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/evernote.html |
ef079edbc510-0 | .ipynb
.pdf
Google Cloud Storage Directory
Contents
Specifying a prefix
Google Cloud Storage Directory#
Google 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-storage
from lang... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/google_cloud_storage_directory.html |
ef079edbc510-1 | warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)
[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': '/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/tmpz37njh7u/fake.docx'}, lookup_index=0)]
Specifying a prefix#
You can also specify a prefix for more finegrained control over what fil... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/google_cloud_storage_directory.html |
ef079edbc510-2 | warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)
[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': '/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/tmpylg6291i/fake.docx'}, lookup_index=0)]
previous
Google BigQuery
next
Google Cloud Storage File
Contents
Specifying a prefix
By H... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/google_cloud_storage_directory.html |
39811fdbcdc9-0 | .ipynb
.pdf
Microsoft OneDrive
Contents
Prerequisites
🧑 Instructions for ingesting your documents from OneDrive
🔑 Authentication
🗂️ Documents loader
📑 Loading documents from a OneDrive Directory
📑 Loading documents from a list of Documents IDs
Microsoft OneDrive#
Microsoft OneDrive (formerly SkyDrive) is a file ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/microsoft_onedrive.html |
39811fdbcdc9-1 | 🧑 Instructions for ingesting your documents from OneDrive#
🔑 Authentication#
By default, the OneDriveLoader expects that the values of CLIENT_ID and CLIENT_SECRET must be stored as environment variables named O365_CLIENT_ID and O365_CLIENT_SECRET respectively. You could pass those environment variables through a .env... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/microsoft_onedrive.html |
39811fdbcdc9-2 | from langchain.document_loaders.onedrive import OneDriveLoader
loader = OneDriveLoader(drive_id="YOUR DRIVE ID", folder_path="Documents/clients", auth_with_token=True)
documents = loader.load()
📑 Loading documents from a list of Documents IDs#
Another possibility is to provide a list of object_id for each document you... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/microsoft_onedrive.html |
e58e7b61f467-0 | .ipynb
.pdf
Reddit
Reddit#
Reddit (reddit) 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.
... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/reddit.html |
e58e7b61f467-1 | documents = loader.load()
documents[:5]
[Document(page_content='Hello, I am not looking for investment advice. I will apply my own due diligence. However, I am interested if anyone knows as a UK resident how fees and exchange rate differences would impact performance?\n\nI am planning to create a pie of index funds (pe... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/reddit.html |
e58e7b61f467-2 | Document(page_content='Have a general question? Want to offer some commentary on markets? Maybe you would just like to throw out a neat fact that doesn\'t warrant a self post? Feel free to post here! \n\nIf your question is "I have $10,000, what do I do?" or other "advice for my personal situation" questions, you sh... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/reddit.html |
e58e7b61f467-3 | big debts (include interest rate) or expenses? \n* And any other relevant financial information will be useful to give you a proper answer. \n\nPlease consider consulting our FAQ first - https://www.reddit.com/r/investing/wiki/faq\nAnd our [side bar](https://www.reddit.com/r/investing/about/sidebar) also has useful r... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/reddit.html |
e58e7b61f467-4 | Thread - April 27, 2023', 'post_score': 5, 'post_id': '130eszz', 'post_url': 'https://www.reddit.com/r/investing/comments/130eszz/daily_general_discussion_and_advice_thread_april/', 'post_author': Redditor(name='AutoModerator')}), | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/reddit.html |
e58e7b61f467-5 | Document(page_content="Based on recent news about salt battery advancements and the overall issues of lithium, I was wondering what would be feasible ways to invest into non-lithium based battery technologies? CATL is of course a choice, but the selection of brokers I currently have in my disposal don't provide HK stoc... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/reddit.html |
e58e7b61f467-6 | Document(page_content='Hello everyone,\n\nI would really like to invest in an ETF that follows spy or another big index, as I think this form of investment suits me best. \n\nThe problem is, that I live in Denmark where ETFs and funds are taxed annually on unrealised gains at quite a steep rate. This means that an ETF ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/reddit.html |
4b620987f28c-0 | .ipynb
.pdf
Slack
Contents
🧑 Instructions for ingesting your own dataset
Slack#
Slack 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 dataset#... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/slack.html |
087b6d5903a2-0 | .ipynb
.pdf
Twitter
Twitter#
Twitter 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 want to ext... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-1 | [Document(page_content='@MrAndyNgo @REI One store after another shutting down', metadata={'created_at': 'Tue Apr 18 03:45:50 +0000 2023', 'user_info': {'id': 44196397, 'id_str': '44196397', 'name': 'Elon Musk', 'screen_name': 'elonmusk', 'location': 'A Shortfall of Gravitas', 'profile_location': None, 'description': 'n... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-2 | [], 'user_mentions': [{'screen_name': 'MrAndyNgo', 'name': 'Andy Ngô 🏳️\u200d🌈', 'id': 2835451658, 'id_str': '2835451658', 'indices': [0, 10]}, {'screen_name': 'REI', 'name': 'REI', 'id': 16583846, 'id_str': '16583846', 'indices': [11, 15]}], 'urls': []}, 'source': '<a href="http://twitter.com/download/iphone" rel="n... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-3 | 'profile_background_tile': False, 'profile_image_url': 'http://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_image_url_https': 'https://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_banner_url': 'https://pbs.twimg.com/profile_banners/44196397/157618347... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-4 | Document(page_content='@KanekoaTheGreat @joshrogin @glennbeck Large ships are fundamentally vulnerable to ballistic (hypersonic) missiles', metadata={'created_at': 'Tue Apr 18 03:43:25 +0000 2023', 'user_info': {'id': 44196397, 'id_str': '44196397', 'name': 'Elon Musk', 'screen_name': 'elonmusk', 'location': 'A Shortfa... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-5 | down', 'truncated': False, 'entities': {'hashtags': [], 'symbols': [], 'user_mentions': [{'screen_name': 'MrAndyNgo', 'name': 'Andy Ngô 🏳️\u200d🌈', 'id': 2835451658, 'id_str': '2835451658', 'indices': [0, 10]}, {'screen_name': 'REI', 'name': 'REI', 'id': 16583846, 'id_str': '16583846', 'indices': [11, 15]}], 'urls': ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-6 | 'http://abs.twimg.com/images/themes/theme1/bg.png', 'profile_background_image_url_https': 'https://abs.twimg.com/images/themes/theme1/bg.png', 'profile_background_tile': False, 'profile_image_url': 'http://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_image_url_https': 'https://pbs.twi... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-7 | Document(page_content='@KanekoaTheGreat The Golden Rule', metadata={'created_at': 'Tue Apr 18 03:37:17 +0000 2023', 'user_info': {'id': 44196397, 'id_str': '44196397', 'name': 'Elon Musk', 'screen_name': 'elonmusk', 'location': 'A Shortfall of Gravitas', 'profile_location': None, 'description': 'nothing', 'url': None, ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-8 | 'MrAndyNgo', 'name': 'Andy Ngô 🏳️\u200d🌈', 'id': 2835451658, 'id_str': '2835451658', 'indices': [0, 10]}, {'screen_name': 'REI', 'name': 'REI', 'id': 16583846, 'id_str': '16583846', 'indices': [11, 15]}], 'urls': []}, 'source': '<a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>', 'in_... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-9 | 'profile_background_tile': False, 'profile_image_url': 'http://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_image_url_https': 'https://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_banner_url': 'https://pbs.twimg.com/profile_banners/44196397/157618347... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-10 | Document(page_content='@KanekoaTheGreat 🧐', metadata={'created_at': 'Tue Apr 18 03:35:48 +0000 2023', 'user_info': {'id': 44196397, 'id_str': '44196397', 'name': 'Elon Musk', 'screen_name': 'elonmusk', 'location': 'A Shortfall of Gravitas', 'profile_location': None, 'description': 'nothing', 'url': None, 'entities': {... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-11 | 'MrAndyNgo', 'name': 'Andy Ngô 🏳️\u200d🌈', 'id': 2835451658, 'id_str': '2835451658', 'indices': [0, 10]}, {'screen_name': 'REI', 'name': 'REI', 'id': 16583846, 'id_str': '16583846', 'indices': [11, 15]}], 'urls': []}, 'source': '<a href="http://twitter.com/download/iphone" rel="nofollow">Twitter for iPhone</a>', 'in_... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-12 | 'profile_background_tile': False, 'profile_image_url': 'http://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_image_url_https': 'https://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_banner_url': 'https://pbs.twimg.com/profile_banners/44196397/157618347... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-13 | Document(page_content='@TRHLofficial What’s he talking about and why is it sponsored by Erik’s son?', metadata={'created_at': 'Tue Apr 18 03:32:17 +0000 2023', 'user_info': {'id': 44196397, 'id_str': '44196397', 'name': 'Elon Musk', 'screen_name': 'elonmusk', 'location': 'A Shortfall of Gravitas', 'profile_location': N... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-14 | 'entities': {'hashtags': [], 'symbols': [], 'user_mentions': [{'screen_name': 'MrAndyNgo', 'name': 'Andy Ngô 🏳️\u200d🌈', 'id': 2835451658, 'id_str': '2835451658', 'indices': [0, 10]}, {'screen_name': 'REI', 'name': 'REI', 'id': 16583846, 'id_str': '16583846', 'indices': [11, 15]}], 'urls': []}, 'source': '<a href="ht... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-15 | 'http://abs.twimg.com/images/themes/theme1/bg.png', 'profile_background_image_url_https': 'https://abs.twimg.com/images/themes/theme1/bg.png', 'profile_background_tile': False, 'profile_image_url': 'http://pbs.twimg.com/profile_images/1590968738358079488/IY9Gx6Ok_normal.jpg', 'profile_image_url_https': 'https://pbs.twi... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
087b6d5903a2-16 | previous
2Markdown
next
Text Splitters
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/twitter.html |
3918a7f12a1b-0 | .ipynb
.pdf
HTML
Contents
Loading HTML with BeautifulSoup4
HTML#
The HyperText Markup Language or HTML is the standard markup language for documents designed to be displayed in a web browser.
This covers how to load HTML documents into a document format that we can use downstream.
from langchain.document_loaders impo... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/html.html |
8455b1837ac9-0 | .ipynb
.pdf
Confluence
Confluence#
Confluence is a wiki collaboration platform that saves and organizes all of the project-related material. Confluence is a knowledge base that primarily handles content management activities.
A loader for Confluence pages currently supports both username/api_key and Oauth2 login.
See i... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/confluence.html |
4d7d27c9a07c-0 | .ipynb
.pdf
Gutenberg
Gutenberg#
Project 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 GutenbergLoader
loader = GutenbergLoader('https://www.gutenberg.org/cache/epub/699... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gutenberg.html |
e814b44c4b45-0 | .ipynb
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Email
Contents
Using Unstructured
Retain Elements
Using OutlookMessageLoader
Email#
This notebook shows how to load email (.eml) or Microsoft Outlook (.msg) files.
Using Unstructured#
#!pip install unstructured
from langchain.document_loaders import UnstructuredEmailLoader
loader = UnstructuredEmailLoader... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/email.html |
e814b44c4b45-1 | previous
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next
EPub
Contents
Using Unstructured
Retain Elements
Using OutlookMessageLoader
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on May 29, 2023. | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/email.html |
4018afeb0ad0-0 | .ipynb
.pdf
JSON
Contents
Using JSONLoader
Extracting metadata
The metadata_func
Common JSON structures with jq schema
JSON#
JSON (JavaScript Object Notation) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pair... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-1 | {'content': 'Im not interested in this bag. Im interested in the '
'blue one!',
'sender_name': 'User 1',
'timestamp_ms': 1675595109305},
{'content': 'Here is $129',
'sender_name': 'User 2',
'timestamp_ms': 1675595068468}... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-2 | loader = JSONLoader(
file_path='./example_data/facebook_chat.json',
jq_schema='.messages[].content')
data = loader.load()
pprint(data)
[Document(page_content='Bye!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-3 | Document(page_content='Online is at least $100', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 8}),
Document(page_content='How much do you want?', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/index... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-4 | Additionally, we now have to explicitly specify in the loader, via the content_key argument, the key from the record where the value for the page_content needs to be extracted from.
# Define the metadata extraction function.
def metadata_func(record: dict, metadata: dict) -> dict:
metadata["sender_name"] = record.g... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-5 | Document(page_content='I thought you were selling the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4, 'sender_name': 'User 1', 'timestamp_ms': 1675595140251}),
Document(page_content='Im not interested in th... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-6 | Document(page_content='Goodmorning! $50 is too low.', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 10, 'sender_name': 'User 2', 'timestamp_ms': 1675577876645}),
Document(page_content='Hi! Im interested in your bag. Im ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-7 | return metadata
loader = JSONLoader(
file_path='./example_data/facebook_chat.json',
jq_schema='.messages[]',
content_key="content",
metadata_func=metadata_func
)
data = loader.load()
pprint(data)
[Document(page_content='Bye!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-8 | Document(page_content='Here is $129', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 6, 'sender_name': 'User 2', 'timestamp_ms': 1675595068468}),
Document(page_content='', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/ex... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
4018afeb0ad0-9 | Common JSON structures with jq schema#
The list below provides a reference to the possible jq_schema the user can use to extract content from the JSON data depending on the structure.
JSON -> [{"text": ...}, {"text": ...}, {"text": ...}]
jq_schema -> ".[].text"
JSON -> {"key": [{"text": ...}, {... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/json.html |
ad4c09f6f508-0 | .ipynb
.pdf
Sitemap
Contents
Filtering sitemap URLs
Local Sitemap
Sitemap#
Extends 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... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-1 | Document(page_content='\n\n\n\n\n\nWelcome to LangChain — 🦜🔗 LangChain 0.0.123\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSkip to main content\n\n\n\n\n\n\n\n\n\n\nCtrl+K\n\n\n\n\n\n\n\n\n\n\n\n\n🦜🔗 LangChain 0.0.123\n\n\n\nGetting Started\n\nQuickstart Guide\n\nMod... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-2 | OpenAI\nSageMakerEndpoint\nSelf-Hosted Models via Runhouse\nStochasticAI\nWriter\n\n\nAsync API for LLM\nStreaming with LLMs\n\n\nReference\n\n\nDocument Loaders\nKey Concepts\nHow To Guides\nCoNLL-U\nAirbyte JSON\nAZLyrics\nBlackboard\nCollege Confidential\nCopy Paste\nCSV Loader\nDirectory Loader\nEmail\nEverNote\nFa... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-3 | Document Embeddings\nText Splitter\nVectorStores\nAtlasDB\nChroma\nDeep Lake\nElasticSearch\nFAISS\nMilvus\nOpenSearch\nPGVector\nPinecone\nQdrant\nRedis\nWeaviate\nChatGPT Plugin Retriever\nVectorStore Retriever\nAnalyze Document\nChat Index\nGraph QA\nQuestion Answering with Sources\nQuestion Answering\nSummarization... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-4 | Agent\nJSON Agent\nOpenAPI Agent\nPandas Dataframe Agent\nPython Agent\nSQL Database Agent\nVectorstore Agent\nMRKL\nMRKL Chat\nReAct\nSelf Ask With Search\n\n\nReference\n\n\nMemory\nGetting Started\nKey Concepts\nHow-To Guides\nConversationBufferMemory\nConversationBufferWindowMemory\nEntity Memory\nConversation Know... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-5 | Generation\nQuestion Answering\nSQL Question Answering Benchmarking: Chinook\n\n\nModel Comparison\n\nReference\n\nInstallation\nIntegrations\nAPI References\nPrompts\nPromptTemplates\nExample Selector\n\n\nUtilities\nPython REPL\nSerpAPI\nSearxNG Search\nDocstore\nText Splitter\nEmbeddings\nVectorStores\n\n\nChains\nA... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-6 | Started\nModules\nUse Cases\nReference Docs\nLangChain Ecosystem\nAdditional Resources\n\n\n\n\n\n\n\n\nWelcome to LangChain#\nLarge language models (LLMs) are emerging as a transformative technology, enabling\ndevelopers to build applications that they previously could not.\nBut using these LLMs in isolation is often ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-7 | support for.\nFor each module we provide some examples to get started, how-to guides, reference docs, and conceptual guides.\nThese modules are, in increasing order of complexity:\n\nPrompts: This includes prompt management, prompt optimization, and prompt serialization.\nLLMs: This includes a generic interface for all... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-8 | models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.\nAgents: Agents involve an LLM making decisions about which Actions to take, taking that Action, seeing an Observation, and repeating that until done. LangChain provides a standard interface ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-9 | the common use cases LangChain supports.\n\nAgents: Agents are systems that use a language model to interact with other tools. These can be used to do more grounded question/answering, interact with APIs, or even take actions.\nChatbots: Since language models are good at producing text, that makes them ideal for creati... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-10 | SQL, dataframes, etc) you should read this page.\nEvaluation: Generative models are notoriously hard to evaluate with traditional metrics. One new way of evaluating them is using language models themselves to do the evaluation. LangChain provides some prompts/chains for assisting in this.\nGenerate similar examples: Ge... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-11 | application!\n\nLangChainHub: The LangChainHub is a place to share and explore other prompts, chains, and agents.\nGlossary: A glossary of all related terms, papers, methods, etc. Whether implemented in LangChain or not!\nGallery: A collection of our favorite projects that use LangChain. Useful for finding inspiration ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-12 | Harrison Chase\n\n\n\n\n \n © Copyright 2023, Harrison Chase.\n \n\n\n\n\n Last updated on Mar 24, 2023.\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n', lookup_str='', metadata={'source': 'https://python.langchain.com/en/stable/', 'loc': 'https://python.langchain.com/en/stable/', 'lastmod': '2023-03-24T19:30:54.647... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-13 | Filtering sitemap URLs#
Sitemaps can be massive files, with thousands of URLs. Often you don’t need every single one of them. You can filter the URLs by passing a list of strings or regex patterns to the url_filter parameter. Only URLs that match one of the patterns will be loaded.
loader = SitemapLoader(
"https... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-14 | Document(page_content='\n\n\n\n\n\nWelcome to LangChain — 🦜🔗 LangChain 0.0.123\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSkip to main content\n\n\n\n\n\n\n\n\n\n\nCtrl+K\n\n\n\n\n\n\n\n\n\n\n\n\n🦜🔗 LangChain 0.0.123\n\n\n\nGetting Started\n\nQuickstart Guide\n\nMod... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-15 | Models\nGetting Started\nHow-To Guides\nHow to use few shot examples\nHow to stream responses\n\n\nIntegrations\nAzure\nOpenAI\nPromptLayer ChatOpenAI\n\n\n\n\nText Embedding Models\nAzureOpenAI\nCohere\nFake Embeddings\nHugging Face Hub\nInstructEmbeddings\nOpenAI\nSageMaker Endpoint Embeddings\nSelf Hosted Embeddings... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-16 | File Storage\nGitBook\nGoogle Drive\nGutenberg\nHacker News\nHTML\niFixit\nImages\nIMSDb\nMarkdown\nNotebook\nNotion\nObsidian\nPDF\nPowerPoint\nReadTheDocs Documentation\nRoam\ns3 Directory\ns3 File\nSubtitle Files\nTelegram\nUnstructured File Loader\nURL\nWeb Base\nWord Documents\nYouTube\n\n\nText Splitters\nGetting... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-17 | Memory class\nHow to use multiple memroy classes in the same chain\n\n\n\n\nChains\nGetting Started\nHow-To Guides\nAsync API for Chain\nLoading from LangChainHub\nLLM Chain\nSequential Chains\nSerialization\nTransformation Chain\nAnalyze Document\nChat Index\nGraph QA\nHypothetical Document Embeddings\nQuestion Answer... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-18 | Dataframe Agent\nPython Agent\nSQL Database Agent\nVectorstore Agent\n\n\nAgent Executors\nHow to combine agents and vectorstores\nHow to use the async API for Agents\nHow to create ChatGPT Clone\nHow to access intermediate steps\nHow to cap the max number of iterations\nHow to add SharedMemory to an Agent and its Tool... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-19 | Lake\nForefrontAI\nGoogle Search Wrapper\nGoogle Serper Wrapper\nGooseAI\nGraphsignal\nHazy Research\nHelicone\nHugging Face\nMilvus\nModal\nNLPCloud\nOpenAI\nOpenSearch\nPetals\nPGVector\nPinecone\nPromptLayer\nQdrant\nRunhouse\nSearxNG Search API\nSerpAPI\nStochasticAI\nUnstructured\nWeights & Biases\nWeaviate\nWolfr... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-20 | data\nBe agentic: allow a language model to interact with its environment\n\nThe LangChain framework is designed with the above principles in mind.\nThis is the Python specific portion of the documentation. For a purely conceptual guide to LangChain, see here. For the JavaScript documentation, see here.\n\nGetting Star... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-21 | that use memory.\nIndexes: Language models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.\nChains: Chains go beyond just a single LLM call, and are sequences of calls (whether to an LLM or a different utility). LangChain provides a standard inte... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-22 | have knowledge about your data.\nQuestion Answering: The second big LangChain use case. Answering questions over specific documents, only utilizing the information in those documents to construct an answer.\nChatbots: Since language models are good at producing text, that makes them ideal for creating chatbots.\nQueryi... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-23 | assisting in this.\n\n\n\n\n\nReference Docs#\nAll of LangChain’s reference documentation, in one place. Full documentation on all methods, classes, installation methods, and integration setups for LangChain.\n\nReference Documentation\n\n\n\n\n\nLangChain Ecosystem#\nGuides for how other companies/products can be used... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-24 | prompts, models, and chains is a big part of developing the best possible application. The ModelLaboratory makes it easy to do so.\nDiscord: Join us on our Discord to discuss all things LangChain!\nProduction Support: As you move your LangChains into production, we’d love to offer more comprehensive support. Please fil... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
ad4c09f6f508-25 | Local Sitemap#
The sitemap loader can also be used to load local files.
sitemap_loader = SitemapLoader(web_path="example_data/sitemap.xml", is_local=True)
docs = sitemap_loader.load()
Fetching pages: 100%|###################################################################################################################... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
fea03580048a-0 | .ipynb
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AWS S3 File
AWS S3 File#
Amazon Simple Storage Service (Amazon S3) is an object storage service.
AWS S3 Buckets
This covers how to load document objects from an AWS S3 File object.
from langchain.document_loaders import S3FileLoader
#!pip install boto3
loader = S3FileLoader("testing-hwc", "fake.docx")
loade... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/aws_s3_file.html |
34f2c0a1ef2c-0 | .ipynb
.pdf
WebBaseLoader
Contents
Loading multiple webpages
Load multiple urls concurrently
Loading a xml file, or using a different BeautifulSoup parser
WebBaseLoader#
This 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 fo... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
34f2c0a1ef2c-1 | [Document(page_content="\n\n\n\n\n\n\n\n\nESPN - Serving Sports Fans. Anytime. Anywhere.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Skip to main content\n \n\n ... | https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/web_base.html |
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