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eab120bec91e-0 | Callbacks | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksArgillaContextInfino - LangChain LLM Monitoring ExamplePromptLayerStreamlitChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAge... | https://python.langchain.com/docs/integrations/callbacks/ |
d989b366e49a-0 | PromptLayer | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/callbacks/promptlayer |
d989b366e49a-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksArgillaContextInfino - LangChain LLM Monitoring ExamplePromptLayerStreamlitChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by... | https://python.langchain.com/docs/integrations/callbacks/promptlayer |
d989b366e49a-2 | set it as an environment variabled called PROMPTLAYER_API_KEYUsage​Getting started with PromptLayerCallbackHandler is fairly simple, it takes two optional arguments:pl_tags - an optional list of strings that will be tracked as tags on PromptLayer.pl_id_callback - an optional function that will take promptlayer_reques... | https://python.langchain.com/docs/integrations/callbacks/promptlayer |
d989b366e49a-3 | this example we unlock more of the power of PromptLayer.PromptLayer allows you to visually create, version, and track prompt templates. Using the Prompt Registry, we can programatically fetch the prompt template called example.We also define a pl_id_callback function which takes in the promptlayer_request_id and logs a... | https://python.langchain.com/docs/integrations/callbacks/promptlayer |
d989b366e49a-4 | This callback also works with any LLM implemented on LangChain.PreviousInfino - LangChain LLM Monitoring ExampleNextStreamlitInstallation and SetupGetting API CredentialsUsageSimple OpenAI ExampleGPT4All ExampleFull Featured ExampleCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc... | https://python.langchain.com/docs/integrations/callbacks/promptlayer |
d5dcbdbd487c-0 | Streamlit | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/callbacks/streamlit |
d5dcbdbd487c-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksArgillaContextInfino - LangChain LLM Monitoring ExamplePromptLayerStreamlitChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by... | https://python.langchain.com/docs/integrations/callbacks/streamlit |
d5dcbdbd487c-2 | thoughts and actions live in your app.from langchain.llms import OpenAIfrom langchain.agents import AgentType, initialize_agent, load_toolsfrom langchain.callbacks import StreamlitCallbackHandlerimport streamlit as stllm = OpenAI(temperature=0, streaming=True)tools = load_tools(["ddg-search"])agent = initialize_agent( ... | https://python.langchain.com/docs/integrations/callbacks/streamlit |
251fde37c715-0 | Infino - LangChain LLM Monitoring Example | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksArgillaContextInfino - LangChain LLM Monitoring ExamplePromptLayerStreamlitChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-2 | (from matplotlib) (0.11.0) Requirement already satisfied: fonttools>=4.22.0 in /Users/vinaykakade/.pyenv/versions/3.10.11/lib/python3.10/site-packages (from matplotlib) (4.39.4) Requirement already satisfied: kiwisolver>=1.0.1 in /Users/vinaykakade/.pyenv/versions/3.10.11/lib/python3.10/site-packages (from matplo... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-3 | (2.8.2) Requirement already satisfied: six>=1.5 in /Users/vinaykakade/.pyenv/versions/3.10.11/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib) (1.16.0) Requirement already satisfied: infinopy in /Users/vinaykakade/.pyenv/versions/3.10.11/lib/python3.10/site-packages (0.0.1) Requirement alre... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-4 | Requirement already satisfied: charset-normalizer<4,>=2 in /Users/vinaykakade/.pyenv/versions/3.10.11/lib/python3.10/site-packages (from requests->infinopy) (3.1.0) Requirement already satisfied: idna<4,>=2.5 in /Users/vinaykakade/.pyenv/versions/3.10.11/lib/python3.10/site-packages (from requests->infinopy) (3.4) ... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-5 | Charles III swear fealty to?When did the Frankish identity emerge?Who was the duke in the battle of Hastings?Who ruled the duchy of NormandyWhat religion were the NormansWhat type of major impact did the Norman dynasty have on modern Europe?Who was famed for their Christian spirit?Who assimilted the Roman language?Who ... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-6 | 16, 'completion_tokens': 9, 'prompt_tokens': 7}, 'model_name': 'text-davinci-003'} run=RunInfo(run_id=UUID('8de21639-acec-4bd1-a12d-8124de1e20da')) When were the Normans in Normandy? generations=[[Generation(text='\n\nThe Normans first settled in Normandy in the late 9th century.', generation_info={'finish_reason... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-7 | 'stop', 'logprobs': None})]] llm_output={'token_usage': {'total_tokens': 45, 'completion_tokens': 39, 'prompt_tokens': 6}, 'model_name': 'text-davinci-003'} run=RunInfo(run_id=UUID('e32f31cb-ddc9-4863-8e6e-cb7a281a0ada')) What century did the Normans first gain their separate identity? generations=[[Generation(te... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-8 | What is France a region of? generations=[[Generation(text='\n\nFrance is a region of Europe.', generation_info={'finish_reason': 'stop', 'logprobs': None})]] llm_output={'token_usage': {'total_tokens': 16, 'completion_tokens': 9, 'prompt_tokens': 7}, 'model_name': 'text-davinci-003'} run=RunInfo(run_id=UUID('6943880... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-9 | 'completion_tokens': 78, 'prompt_tokens': 8}, 'model_name': 'text-davinci-003'} run=RunInfo(run_id=UUID('23f86775-e592-4cb8-baa3-46ebe74305b2')) Who was the duke in the battle of Hastings? generations=[[Generation(text='\n\nThe Duke of Normandy, William the Conqueror, was the leader of the Norman forces at the Ba... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-10 | # Create the plot plt.plot(dates, y) # Set labels and title plt.xlabel("Time") plt.ylabel("Value") plt.title(title) plt.show()response = client.search_ts("__name__", "latency", 0, int(time.time()))plot(response.text, "Latency")response = client.search_ts("__name__", "error", 0, int(time.time()))plot(r... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-11 | for", query, ":", response.text) Results for normandy : [{"time":1686821979,"fields":{"prompt":"In what country is Normandy located?"},"text":"In what country is Normandy located?"},{"time":1686821982,"fields":{"prompt_response":"\n\nNormandy is located in France."},"text":"\n\nNormandy is located in France."},{"tim... | https://python.langchain.com/docs/integrations/callbacks/infino |
251fde37c715-12 | to Pope Innocent III."},"text":"\n\nKing Charles III swore fealty to Pope Innocent III."}]Step 5: Stop infino server​docker rm -f infino-example infino-examplePreviousContextNextPromptLayerStart Infino server, initialize the Infino clientRead the questions datasetLangChain OpenAI Q&A; Publish metrics and logs to I... | https://python.langchain.com/docs/integrations/callbacks/infino |
756514e58cbe-0 | Argilla | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksArgillaContextInfino - LangChain LLM Monitoring ExamplePromptLayerStreamlitChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by... | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-2 | from data labeling to model monitoring.In this guide we will demonstrate how to track the inputs and reponses of your LLM to generate a dataset in Argilla, using the ArgillaCallbackHandler.It's useful to keep track of the inputs and outputs of your LLMs to generate datasets for future fine-tuning. This is especially us... | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-3 | rg.TextField(name="prompt"), rg.TextField(name="response"), ], questions=[ rg.RatingQuestion( name="response-rating", description="How would you rate the quality of the response?", values=[1, 2, 3, 4, 5], required=True, ), rg.TextQuestion( ... | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-4 | api_url=os.environ["ARGILLA_API_URL"], api_key=os.environ["ARGILLA_API_KEY"],)Scenario 1: Tracking an LLM​First, let's just run a single LLM a few times and capture the resulting prompt-response pairs in Argilla.from langchain.callbacks import ArgillaCallbackHandler, StdOutCallbackHandlerfrom langchain.llms import... | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-5 | other magnet?\nA. "I find you very attractive!"', generation_info={'finish_reason': 'stop', 'logprobs': None})], [Generation(text="\n\nThe world is charged with the grandeur of God.\nIt will flame out, like shining from shook foil;\nIt gathers to a greatness, like the ooze of oil\nCrushed. Why do men then now not reck ... | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-6 | dawn arrives\n\nA fresh start, no reason to hide\n\nSomewhere down the road, there's a heart that beats\n\nBelieve in yourself, you'll always succeed.", generation_info={'finish_reason': 'stop', 'logprobs': None})]], llm_output={'token_usage': {'completion_tokens': 504, 'total_tokens': 528, 'prompt_tokens': 24}, 'model... | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-7 | You are a playwright. Given the title of play, it is your job to write a synopsis for that title. Title: Documentary about Bigfoot in Paris Playwright: This is a synopsis for the above play: > Finished chain. [{'text': "\n\nDocumentary about Bigfoot in Paris focuses on the story of a documentary filmmak... | https://python.langchain.com/docs/integrations/callbacks/argilla |
756514e58cbe-8 | example below won't work.from langchain.agents import AgentType, initialize_agent, load_toolsfrom langchain.callbacks import ArgillaCallbackHandler, StdOutCallbackHandlerfrom langchain.llms import OpenAIargilla_callback = ArgillaCallbackHandler( dataset_name="langchain-dataset", api_url=os.environ["ARGILLA_API_UR... | https://python.langchain.com/docs/integrations/callbacks/argilla |
81a1c2696644-0 | Context | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/callbacks/context |
81a1c2696644-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksArgillaContextInfino - LangChain LLM Monitoring ExamplePromptLayerStreamlitChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by... | https://python.langchain.com/docs/integrations/callbacks/context |
81a1c2696644-2 | Gain critical insights, optimise poor experiences, and minimise brand risks.In this guide we will show you how to integrate with Context.Installation and Setup​$ pip install context-python --upgradeGetting API Credentials​To get your Context API token:Go to the settings page within your Context account (https://go.... | https://python.langchain.com/docs/integrations/callbacks/context |
81a1c2696644-3 | chat model and the chain.Wrong:chat = ChatOpenAI(temperature=0.9, callbacks=[ContextCallbackHandler(token)])chain = LLMChain(llm=chat, prompt=chat_prompt_template, callbacks=[ContextCallbackHandler(token)])Correct:handler = ContextCallbackHandler(token)chat = ChatOpenAI(temperature=0.9, callbacks=[callback])chain = LLM... | https://python.langchain.com/docs/integrations/callbacks/context |
f73c7d173411-0 | Document loaders | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-2 | acreomacreom is a dev-first knowledge base with tasks running on local markdown files.📄� Airbyte JSONAirbyte is a data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes. It has the largest catalog of ELT connectors to data warehouses and databases.📄� Airtable* Get your ... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-3 | (Amazon S3) is an object storage service.📄� AZLyricsAZLyrics is a large, legal, every day growing collection of lyrics.📄� Azure Blob Storage ContainerAzure Blob Storage is Microsoft's object storage solution for the cloud. Blob Storage is optimized for storing massive amounts of unstructured data. Unstructure... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-4 | Brave SearchBrave Search is a search engine developed by Brave Software.📄� BrowserlessBrowserless is a service that allows you to run headless Chrome instances in the cloud. It's a great way to run browser-based automation at scale without having to worry about managing your own infrastructure.📄� chatgpt_load... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-5 | Datadog LogsDatadog is a monitoring and analytics platform for cloud-scale applications.📄� DiffbotUnlike traditional web scraping tools, Diffbot doesn't require any rules to read the content on a page.📄� DiscordDiscord is a VoIP and instant messaging social platform. Users have the ability to communicate with... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-6 | edited, searched, and exported.🗃� example_data1 items📄� Microsoft ExcelThe UnstructuredExcelLoader is used to load Microsoft Excel files. The loader works with both .xlsx and .xls files. The page content will be the raw text of the Excel file. If you use the loader in "elements" mode, an HTML representation o... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-7 | Google Cloud Storage DirectoryGoogle Cloud Storage is a managed service for storing unstructured data.📄� Google Cloud Storage FileGoogle Cloud Storage is a managed service for storing unstructured data.📄� Google DriveGoogle Drive is a file storage and synchronization service developed by Google.📄� Grobid... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-8 | IMSDbIMSDb is the Internet Movie Script Database.📄� IuguIugu 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.📄� JoplinJoplin is an open source note-taking app. Capture... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-9 | Microsoft.📄� Microsoft PowerPointMicrosoft PowerPoint is a presentation program by Microsoft.📄� Microsoft WordMicrosoft Word is a word processor developed by Microsoft.📄� Modern TreasuryModern Treasury simplifies complex payment operations. It is a unified platform to power products and processes that mo... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-10 | how to load data from a pandas DataFrame.📄� PsychicThis notebook covers how to load documents from Psychic. See here for more details.📄� PySpark DataFrame LoaderThis notebook goes over how to load data from a PySpark DataFrame.📄� ReadTheDocs DocumentationRead the Docs is an open-sourced free software doc... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-11 | SnowflakeThis notebooks goes over how to load documents from Snowflake📄� Source 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 alrea... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-12 | 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.📄� Tencent COS DirectoryThis covers how to load document objects from a Tencent COS Directory.📄� ... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-13 | more.📄� URLThis covers how to load HTML documents from a list of URLs into a document format that we can use downstream.📄� WeatherOpenWeatherMap is an open source weather service provider📄� WebBaseLoaderThis covers how to use WebBaseLoader to load all text from HTML webpages into a document format that w... | https://python.langchain.com/docs/integrations/document_loaders/ |
f73c7d173411-14 | video sharing and social media platform created by Google.PreviousPromptLayer ChatOpenAINextEtherscan LoaderCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/integrations/document_loaders/ |
e747e2fd44f2-0 | Arxiv | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/arxiv |
e747e2fd44f2-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/arxiv |
e747e2fd44f2-2 | for 2 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics.This notebook shows how to load scientific articles from Arxiv.org into a document format that we can use downstream... | https://python.langchain.com/docs/integrations/document_loaders/arxiv |
e747e2fd44f2-3 | state explicit conditions on the set of moves so that the heat-bath random\nwalk, a generalization of the Glauber dynamics, is an expander in fixed\ndimension.'}docs[0].page_content[:400] # all pages of the Document content 'arXiv:1605.08386v1 [math.CO] 26 May 2016\nHEAT-BATH RANDOM WALKS WITH MARKOV BASES\nCAPRI... | https://python.langchain.com/docs/integrations/document_loaders/arxiv |
6faecf3e7686-0 | mhtml | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/mhtml |
6faecf3e7686-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/mhtml |
6faecf3e7686-2 | 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, flash animation etc.from langchain.document_loaders import MHTMLLoader# Create a ... | https://python.langchain.com/docs/integrations/document_loaders/mhtml |
37c7eed7ef02-0 | Open City Data | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/open_city_data |
37c7eed7ef02-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/open_city_data |
37c7eed7ef02-2 | 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 311 data.E.g., tmnf-yvry for SF Police data.pip install sodapyfrom langchain.document_loade... | https://python.langchain.com/docs/integrations/document_loaders/open_city_data |
37c7eed7ef02-3 | 'location': {'type': 'Point', 'coordinates': [-122.420084075249, 37.7083109744362]}, ':@computed_region_26cr_cadq': '9', ':@computed_region_rxqg_mtj9': '8', ':@computed_region_bh8s_q3mv': '309'}PreviousOpen Document Format (ODT)NextOrg-modeCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyrig... | https://python.langchain.com/docs/integrations/document_loaders/open_city_data |
324a60890259-0 | HuggingFace dataset | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-2 | 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, | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-3 | automatic speech recognition, and image classification.This notebook shows how to load Hugging Face Hub datasets to LangChain.from langchain.document_loaders import HuggingFaceDatasetLoaderdataset_name = "imdb"page_content_column = "text"loader = HuggingFaceDatasetLoader(dataset_name, page_content_column)data = loader.... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-4 | be shown in pornographic theaters in America. I AM CURIOUS-YELLOW is a good film for anyone wanting to study the meat and potatoes (no pun intended) of Swedish cinema. But really, this film doesn\'t have much of a plot.', metadata={'label': 0}), Document(page_content='"I Am Curious: Yellow" is a risible and pretent... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-5 | the future. This film is interesting as an experiment but tells no cogent story.<br /><br />One might feel virtuous for sitting thru it because it touches on so many IMPORTANT issues but it does so without any discernable motive. The viewer comes away with no new perspectives (unless one comes up with one while one's m... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-6 | Columbus"). Then a screening at a local film museum beckoned - Finally I could see this film, except now I was as old as my parents were when they schlepped to see it!!<br /><br />The ONLY reason this film was not condemned to the anonymous sands of time was because of the obscenity case sparked by its U.S. release. MI... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-7 | Document(page_content="I would put this at the top of my list of films in the category of unwatchable trash! There are films that are bad, but the worst kind are the ones that are unwatchable but you are suppose to like them because they are supposed to be good for you! The sex sequences, so shocking in its day, couldn... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-8 | being portrayed the way she was in the movie is horrendous. I cannot believe out of all the actresses in the world who could play a much better Lucy, the producers decided to get Rachel York. She might be a good actress in other roles but to play the role of Lucille Ball is tough. It is pretty hard to find someone who ... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-9 | that looks like it was a lot of fun to shoot\x97 TOO much fun, nobody is getting any actual work done, and that almost always makes for a movie that\'s no fun to watch.<br /><br />Ritter dons glasses so as to hammer home his character\'s status as a sort of doppleganger of the bespectacled Bogdanovich; the scenes with ... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-10 | were long on charm. "They All Laughed" tries to coast on its good intentions, but nobody- least of all Peter Bogdanovich - has the good sense to put on the brakes.<br /><br />Due in no small part to the tragic death of Dorothy Stratten, this movie has a special place in the heart of Mr. Bogdanovich- he even bought it b... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-11 | indeed. And leaves the audience bored and confused, and jealous, for that matter. This is a curio for people who want to see Dorothy Stratten, who was murdered right after filming. But Patti Hanson, who would, in real life, marry Keith Richards, was also a model, like Stratten, but is a lot better and has a more ample ... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-12 | last movie, "Cat\'s Meow" and all his early ones from "Targets" to "Nickleodeon". So, it really surprised me that I was barely able to keep awake watching this one.<br /><br />It is ironic that this movie is about a detective agency where the detectives and clients get romantically involved with each other. Five years ... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-13 | "Star 80" about Dorothy Stratten, of whom Bogdanovich was obsessed enough to have married her SISTER after her murder at the hands of her low-life husband, is a zillion times more interesting than Dorothy herself on the silver screen. Patty Hansen is no actress either..I expected to see some sort of lost masterpiece a ... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-14 | a rental. It was a really old and very used VHS, I had no information about this movie, but I liked the references listed on its cover: the names of Peter Bogdanovich, Audrey Hepburn, John Ritter and specially Dorothy Stratten attracted me, the price was very low and I decided to risk and buy it. I searched IMDb, and t... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
324a60890259-15 | the most popular Brazilian singer since the end of the 60\'s and is called by his fans as "The King". I will keep this movie in my collection only because of these attractions (manly Dorothy Stratten). My vote is four.<br /><br />Title (Brazil): "Muito Riso e Muita Alegria" ("Many Laughs and Lots of Happiness")', metad... | https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset |
be0439f3403e-0 | Joplin | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/joplin |
be0439f3403e-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/joplin |
be0439f3403e-2 | 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 database and their metadata. This requires an access token that can be obtai... | https://python.langchain.com/docs/integrations/document_loaders/joplin |
a6f85cef4c61-0 | URL | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/url |
a6f85cef4c61-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/url |
a6f85cef4c61-2 | 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-8-2023", "https://www.understandingwar.org/backgrounder/russian-offensive-campaign-ass... | https://python.langchain.com/docs/integrations/document_loaders/url |
a6f85cef4c61-3 | "https://goo.gl/maps/NDSHwePEyaHMFGwh8",]loader = PlaywrightURLLoader(urls=urls, remove_selectors=["header", "footer"])data = loader.load()PreviousUnstructured FileNextWeatherSetupSetupCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/integrations/document_loaders/url |
23d46f0b4199-0 | XML | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/xml |
23d46f0b4199-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/xml |
23d46f0b4199-2 | 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.load()docs[0] Document(page_content='United States\n\nWashington, DC\n\nJoe Biden\n\nBa... | https://python.langchain.com/docs/integrations/document_loaders/xml |
8862143246f3-0 | Twitter | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersEtherscan LoaderacreomAirbyte JSONAirtableAlibaba Cloud MaxComputeApify DatasetArxivAsyncHtmlLoaderAWS S3 DirectoryAWS S3 FileAZLyricsAzure Blob Storage ContainerAzure Blob Storag... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-2 | You must initialize the loader with your Twitter API token, and you need to pass in the Twitter username you want to extract.from langchain.document_loaders import TwitterTweetLoader#!pip install tweepyloader = TwitterTweetLoader.from_bearer_token( oauth2_bearer_token="YOUR BEARER TOKEN", twitter_users=["elonmusk... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-3 | None, 'time_zone': None, 'geo_enabled': False, 'verified': False, 'statuses_count': 24795, 'lang': None, 'status': {'created_at': 'Tue Apr 18 03:45:50 +0000 2023', 'id': 1648170947541704705, 'id_str': '1648170947541704705', 'text': '@MrAndyNgo @REI One store after another shutting down', 'truncated': False, 'entities':... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-4 | False, 'retweeted': False, 'lang': 'en'}, 'contributors_enabled': False, 'is_translator': False, 'is_translation_enabled': False, 'profile_background_color': 'C0DEED', 'profile_background_image_url': 'http://abs.twimg.com/images/themes/theme1/bg.png', 'profile_background_image_url_https': 'https://abs.twimg.com/images/... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-5 | 'location': 'A Shortfall of Gravitas', 'profile_location': None, 'description': 'nothing', 'url': None, 'entities': {'description': {'urls': []}}, 'protected': False, 'followers_count': 135528327, 'friends_count': 220, 'listed_count': 120478, 'created_at': 'Tue Jun 02 20:12:29 +0000 2009', 'favourites_count': 21285, 'u... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-6 | 'in_reply_to_status_id_str': '1648134341678051328', 'in_reply_to_user_id': 2835451658, 'in_reply_to_user_id_str': '2835451658', 'in_reply_to_screen_name': 'MrAndyNgo', 'geo': None, 'coordinates': None, 'place': None, 'contributors': None, 'is_quote_status': False, 'retweet_count': 118, 'favorite_count': 1286, 'favorite... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-7 | 'translator_type': 'none', 'withheld_in_countries': []}}), 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', 'p... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-8 | '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_reply_to_status_id': 1648134341678051328, 'in_reply_to_status_id_str': '164813434167805... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-9 | 'profile_link_color': '0084B4', 'profile_sidebar_border_color': 'C0DEED', 'profile_sidebar_fill_color': 'DDEEF6', 'profile_text_color': '333333', 'profile_use_background_image': True, 'has_extended_profile': True, 'default_profile': False, 'default_profile_image': False, 'following': None, 'follow_request_sent': None, ... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-10 | @REI One store after another shutting 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'... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
8862143246f3-11 | '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/docs/integrations/document_loaders/twitter |
8862143246f3-12 | 2009', 'favourites_count': 21285, 'utc_offset': None, 'time_zone': None, 'geo_enabled': False, 'verified': False, 'statuses_count': 24795, 'lang': None, 'status': {'created_at': 'Tue Apr 18 03:45:50 +0000 2023', 'id': 1648170947541704705, 'id_str': '1648170947541704705', 'text': '@MrAndyNgo @REI One store after another... | https://python.langchain.com/docs/integrations/document_loaders/twitter |
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