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395 | https://python.langchain.com/docs/integrations/llms/openai | ComponentsLLMsOpenAIOpenAIOpenAI offers a spectrum of models with different levels of power suitable for different tasks.This example goes over how to use LangChain to interact with OpenAI models# get a token: https://platform.openai.com/account/api-keysfrom getpass import getpassOPENAI_API_KEY = getpass()import osos.e... |
396 | https://python.langchain.com/docs/integrations/llms/openllm | ComponentsLLMsOpenLLMOn this pageOpenLLM🦾 OpenLLM is an open platform for operating large language models (LLMs) in production. It enables developers to easily run inference with any open-source LLMs, deploy to the cloud or on-premises, and build powerful AI apps.InstallationInstall openllm through PyPIpip install op... |
397 | https://python.langchain.com/docs/integrations/llms/openlm | ComponentsLLMsOpenLMOn this pageOpenLMOpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. This changeset utilizes BaseOpenAI for minimal add... |
398 | https://python.langchain.com/docs/integrations/llms/petals | ComponentsLLMsPetalsOn this pagePetalsPetals runs 100B+ language models at home, BitTorrent-style.This notebook goes over how to use Langchain with Petals.Install petalsThe petals package is required to use the Petals API. Install petals using pip3 install petals.For Apple Silicon(M1/M2) users please follow this guide... |
399 | https://python.langchain.com/docs/integrations/llms/pipelineai | ComponentsLLMsPipelineAIOn this pagePipelineAIPipelineAI allows you to run your ML models at scale in the cloud. It also provides API access to several LLM models.This notebook goes over how to use Langchain with PipelineAI.PipelineAI exampleThis example shows how PipelineAI integrated with LangChain and it is created... |
400 | https://python.langchain.com/docs/integrations/llms/predibase | ComponentsLLMsPredibaseOn this pagePredibasePredibase allows you to train, finetune, and deploy any ML model—from linear regression to large language model. This example demonstrates using Langchain with models deployed on PredibaseSetupTo run this notebook, you'll need a Predibase account and an API key.You'll also ne... |
401 | https://python.langchain.com/docs/integrations/llms/predictionguard | ComponentsLLMsPrediction GuardOn this pagePrediction Guardpip install predictionguard langchainimport osimport predictionguard as pgfrom langchain.llms import PredictionGuardfrom langchain.prompts import PromptTemplatefrom langchain.chains import LLMChainBasic LLM usage# Optional, add your OpenAI API Key. This is opti... |
402 | https://python.langchain.com/docs/integrations/llms/promptlayer_openai | ComponentsLLMsPromptLayer OpenAIOn this pagePromptLayer OpenAIPromptLayer is the first platform that allows you to track, manage, and share your GPT prompt engineering. PromptLayer acts a middleware between your code and OpenAI’s python library.PromptLayer records all your OpenAI API requests, allowing you to search an... |
403 | https://python.langchain.com/docs/integrations/llms/rellm_experimental | ComponentsLLMsRELLMOn this pageRELLMRELLM is a library that wraps local Hugging Face pipeline models for structured decoding.It works by generating tokens one at a time. At each step, it masks tokens that don't conform to the provided partial regular expression.Warning - this module is still experimentalpip install rel... |
404 | https://python.langchain.com/docs/integrations/llms/replicate | ComponentsLLMsReplicateOn this pageReplicateReplicate runs machine learning models in the cloud. We have a library of open-source models that you can run with a few lines of code. If you're building your own machine learning models, Replicate makes it easy to deploy them at scale.This example goes over how to use LangC... |
405 | https://python.langchain.com/docs/integrations/llms/runhouse | ComponentsLLMsRunhouseRunhouseThe Runhouse allows remote compute and data across environments and users. See the Runhouse docs.This example goes over how to use LangChain and Runhouse to interact with models hosted on your own GPU, or on-demand GPUs on AWS, GCP, AWS, or Lambda.Note: Code uses SelfHosted name instead of... |
406 | https://python.langchain.com/docs/integrations/llms/sagemaker | ComponentsLLMsSageMakerEndpointOn this pageSageMakerEndpointAmazon SageMaker is a system that can build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows.This notebooks goes over how to use an LLM hosted on a SageMaker endpoint.pip3 install langchai... |
407 | https://python.langchain.com/docs/integrations/llms/stochasticai | ComponentsLLMsStochasticAIStochasticAIStochastic Acceleration Platform aims to simplify the life cycle of a Deep Learning model. From uploading and versioning the model, through training, compression and acceleration to putting it into production.This example goes over how to use LangChain to interact with StochasticAI... |
408 | https://python.langchain.com/docs/integrations/llms/symblai_nebula | ComponentsLLMsNebula (Symbl.ai)Nebula (Symbl.ai)Nebula is a large language model (LLM) built by Symbl.ai. It is trained to perform generative tasks on human conversations. Nebula excels at modeling the nuanced details of a conversation and performing tasks on the conversation.Nebula documentation: https://docs.symbl.ai... |
409 | https://python.langchain.com/docs/integrations/llms/textgen | ComponentsLLMsTextGenOn this pageTextGenGitHub:oobabooga/text-generation-webui A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.This example goes over how to use LangChain to interact with LLM models via the text-generation-webui API integration.Please ensure th... |
410 | https://python.langchain.com/docs/integrations/llms/titan_takeoff | ComponentsLLMsTitan TakeoffOn this pageTitan TakeoffTitanML helps businesses build and deploy better, smaller, cheaper, and faster NLP models through our training, compression, and inference optimization platform. Our inference server, Titan Takeoff enables deployment of LLMs locally on your hardware in a single comman... |
411 | https://python.langchain.com/docs/integrations/llms/tongyi | ComponentsLLMsTongyi QwenTongyi QwenTongyi Qwen is a large-scale language model developed by Alibaba's Damo Academy. It is capable of understanding user intent through natural language understanding and semantic analysis, based on user input in natural language. It provides services and assistance to users in different... |
412 | https://python.langchain.com/docs/integrations/llms/vllm | ComponentsLLMsvLLMOn this pagevLLMvLLM is a fast and easy-to-use library for LLM inference and serving, offering:State-of-the-art serving throughput Efficient management of attention key and value memory with PagedAttentionContinuous batching of incoming requestsOptimized CUDA kernelsThis notebooks goes over how to use... |
413 | https://python.langchain.com/docs/integrations/llms/writer | ComponentsLLMsWriterWriterWriter is a platform to generate different language content.This example goes over how to use LangChain to interact with Writer models.You have to get the WRITER_API_KEY here.from getpass import getpassWRITER_API_KEY = getpass() ········import osos.environ["WRITER_API_KEY"] = WRITER_API_KE... |
414 | https://python.langchain.com/docs/integrations/llms/xinference | ComponentsLLMsXorbits Inference (Xinference)On this pageXorbits Inference (Xinference)Xinference is a powerful and versatile library designed to serve LLMs,
speech recognition models, and multimodal models, even on your laptop. It supports a variety of models compatible with GGML, such as chatglm, baichuan, whisper, vi... |
415 | https://python.langchain.com/docs/integrations/chat/ | ComponentsChat modelsOn this pageChat modelsFeatures (natively supported)All ChatModels implement the Runnable interface, which comes with default implementations of all methods, ie. ainvoke, batch, abatch, stream, astream. This gives all ChatModels basic support for async, streaming and batch, which by default is imp... |
416 | https://python.langchain.com/docs/integrations/chat/ | ComponentsChat modelsOn this pageChat modelsFeatures (natively supported)All ChatModels implement the Runnable interface, which comes with default implementations of all methods, ie. ainvoke, batch, abatch, stream, astream. This gives all ChatModels basic support for async, streaming and batch, which by default is imp... |
417 | https://python.langchain.com/docs/integrations/chat/anthropic | ComponentsChat modelsAnthropicOn this pageAnthropicThis notebook covers how to get started with Anthropic chat models.from langchain.chat_models import ChatAnthropicfrom langchain.prompts.chat import ( ChatPromptTemplate, SystemMessagePromptTemplate, AIMessagePromptTemplate, HumanMessagePromptTemplate,)from... |
418 | https://python.langchain.com/docs/integrations/chat/anthropic_functions | ComponentsChat modelsAnthropic FunctionsOn this pageAnthropic FunctionsThis notebook shows how to use an experimental wrapper around Anthropic that gives it the same API as OpenAI Functions.from langchain_experimental.llms.anthropic_functions import AnthropicFunctions /Users/harrisonchase/.pyenv/versions/3.9.1/envs/... |
419 | https://python.langchain.com/docs/integrations/chat/anyscale | ComponentsChat modelsAnyscaleAnyscaleThis notebook demonstrates the use of langchain.chat_models.ChatAnyscale for Anyscale Endpoints.Set ANYSCALE_API_KEY environment variableor use the anyscale_api_key keyword argument# !pip install openaiimport osfrom getpass import getpassos.environ["ANYSCALE_API_KEY"] = getpass() ... |
420 | https://python.langchain.com/docs/integrations/chat/azure_chat_openai | ComponentsChat modelsAzureOn this pageAzureThis notebook goes over how to connect to an Azure hosted OpenAI endpointfrom langchain.chat_models import AzureChatOpenAIfrom langchain.schema import HumanMessageBASE_URL = "https://${TODO}.openai.azure.com"API_KEY = "..."DEPLOYMENT_NAME = "chat"model = AzureChatOpenAI( op... |
421 | https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint | ComponentsChat modelsAzureML Chat Online EndpointOn this pageAzureML Chat Online EndpointAzureML is a platform used to build, train, and deploy machine learning models. Users can explore the types of models to deploy in the Model Catalog, which provides Azure Foundation Models and OpenAI Models. Azure Foundation Models... |
422 | https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint | ComponentsChat 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 provides v... |
423 | https://python.langchain.com/docs/integrations/chat/bedrock | ComponentsChat modelsBedrock ChatOn this pageBedrock ChatAmazon 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.chat_models impor... |
424 | https://python.langchain.com/docs/integrations/chat/cohere | ComponentsChat modelsCohereOn this pageCohereThis notebook covers how to get started with Cohere chat models.from langchain.chat_models import ChatCoherefrom langchain.schema import AIMessage, HumanMessagechat = ChatCohere()messages = [ HumanMessage( content="knock knock" )]chat(messages) AIMessage(cont... |
425 | https://python.langchain.com/docs/integrations/chat/ernie | ComponentsChat modelsERNIE-Bot ChatERNIE-Bot ChatERNIE-Bot is a large language model developed by Baidu, covering a huge amount of Chinese data.
This notebook covers how to get started with ErnieBot chat models.from langchain.chat_models import ErnieBotChatfrom langchain.schema import HumanMessagechat = ErnieBotChat(er... |
426 | https://python.langchain.com/docs/integrations/chat/fireworks | ComponentsChat modelsFireworksFireworksFireworks accelerates product development on generative AI by creating an innovative AI experiment and production platform. This example goes over how to use LangChain to interact with ChatFireworks models.from langchain.chat_models.fireworks import ChatFireworksfrom langchain.sch... |
427 | https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm | ComponentsChat modelsGCP Vertex AIOn this pageGCP Vertex AINote: This is seperate from the Google PaLM integration. Google has chosen to offer an enterprise version of PaLM through GCP, and this supports the models made available through there. By default, Google Cloud does not use Customer Data to train its foundation... |
428 | https://python.langchain.com/docs/integrations/chat/jinachat | ComponentsChat modelsJinaChatJinaChatThis notebook covers how to get started with JinaChat chat models.from langchain.chat_models import JinaChatfrom langchain.prompts.chat import ( ChatPromptTemplate, SystemMessagePromptTemplate, AIMessagePromptTemplate, HumanMessagePromptTemplate,)from langchain.schema im... |
429 | https://python.langchain.com/docs/integrations/chat/konko | ComponentsChat modelsKonkoOn this pageKonkoKonko API is a fully managed Web API designed to help application developers:Konko API is a fully managed API designed to help application developers:Select the right LLM(s) for their applicationPrototype with various open-source and proprietary LLMsMove to production in-line ... |
430 | https://python.langchain.com/docs/integrations/chat/litellm | ComponentsChat models🚅 LiteLLMOn this page🚅 LiteLLMLiteLLM is a library that simplifies calling Anthropic, Azure, Huggingface, Replicate, etc. This notebook covers how to get started with using Langchain + the LiteLLM I/O library. from langchain.chat_models import ChatLiteLLMfrom langchain.prompts.chat import ( Ch... |
431 | https://python.langchain.com/docs/integrations/chat/llama_api | ComponentsChat modelsLlama APILlama APIThis notebook shows how to use LangChain with LlamaAPI - a hosted version of Llama2 that adds in support for function calling.!pip install -U llamaapifrom llamaapi import LlamaAPI# Replace 'Your_API_Token' with your actual API tokenllama = LlamaAPI('Your_API_Token')from langchain_... |
432 | https://python.langchain.com/docs/integrations/chat/minimax | ComponentsChat modelsMiniMaxMiniMaxMinimax is a Chinese startup that provides LLM service for companies and individuals.This example goes over how to use LangChain to interact with MiniMax Inference for Chat.import osos.environ["MINIMAX_GROUP_ID"] = "MINIMAX_GROUP_ID"os.environ["MINIMAX_API_KEY"] = "MINIMAX_API_KEY"fro... |
433 | https://python.langchain.com/docs/integrations/chat/ollama | ComponentsChat modelsOllamaOn this pageOllamaOllama allows you to run open-source large language models, such as LLaMA2, locally.Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. It optimizes setup and configuration details, including GPU usage.For a complete list of s... |
434 | https://python.langchain.com/docs/integrations/chat/openai | ComponentsChat modelsOpenAIOn this pageOpenAIThis notebook covers how to get started with OpenAI chat models.from langchain.chat_models import ChatOpenAIfrom langchain.prompts.chat import ( ChatPromptTemplate, SystemMessagePromptTemplate, AIMessagePromptTemplate, HumanMessagePromptTemplate,)from langchain.s... |
435 | https://python.langchain.com/docs/integrations/chat/promptlayer_chatopenai | ComponentsChat modelsPromptLayer ChatOpenAIOn this pagePromptLayer ChatOpenAIThis example showcases how to connect to PromptLayer to start recording your ChatOpenAI requests.Install PromptLayerThe promptlayer package is required to use PromptLayer with OpenAI. Install promptlayer using pip.pip install promptlayerImpor... |
436 | https://python.langchain.com/docs/integrations/chat/vllm | ComponentsChat modelsvLLM ChatvLLM ChatvLLM can be deployed as a server that mimics the OpenAI API protocol. This allows vLLM to be used as a drop-in replacement for applications using OpenAI API. This server can be queried in the same format as OpenAI API.This notebook covers how to get started with vLLM chat models u... |
437 | https://python.langchain.com/docs/integrations/document_loaders | ComponentsDocument loadersDocument loaders📄️ acreomacreom is a dev-first knowledge base with tasks running on local markdown files.📄️ Airbyte CDKAirbyte 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 ... |
438 | https://python.langchain.com/docs/integrations/document_loaders/acreom | ComponentsDocument loadersacreomacreomacreom is a dev-first knowledge base with tasks running on local markdown files.Below is an example on how to load a local acreom vault into Langchain. As the local vault in acreom is a folder of plain text .md files, the loader requires the path to the directory. Vault files may c... |
439 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_cdk | ComponentsDocument loadersAirbyte CDKOn this pageAirbyte CDKAirbyte 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.A lot of source connectors are implemented using the Airbyte CDK. This lo... |
440 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_gong | ComponentsDocument loadersAirbyte GongOn this pageAirbyte GongAirbyte 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.This loader exposes the Gong connector as a document loader, allowing y... |
441 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_hubspot | ComponentsDocument loadersAirbyte HubspotOn this pageAirbyte HubspotAirbyte 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.This loader exposes the Hubspot connector as a document loader, a... |
442 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_json | ComponentsDocument loadersAirbyte JSONAirbyte 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.This covers how to load any source from Airbyte into a local JSON file that can be ... |
443 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_salesforce | ComponentsDocument loadersAirbyte SalesforceOn this pageAirbyte SalesforceAirbyte 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.This loader exposes the Salesforce connector as a document ... |
444 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_shopify | ComponentsDocument loadersAirbyte ShopifyOn this pageAirbyte ShopifyAirbyte 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.This loader exposes the Shopify connector as a document loader, a... |
445 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_stripe | ComponentsDocument loadersAirbyte StripeOn this pageAirbyte StripeAirbyte 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.This loader exposes the Stripe connector as a document loader, allo... |
446 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_typeform | ComponentsDocument loadersAirbyte TypeformOn this pageAirbyte TypeformAirbyte 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.This loader exposes the Typeform connector as a document loader... |
447 | https://python.langchain.com/docs/integrations/document_loaders/airbyte_zendesk_support | ComponentsDocument loadersAirbyte Zendesk SupportOn this pageAirbyte Zendesk SupportAirbyte 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.This loader exposes the Zendesk Support connector... |
448 | https://python.langchain.com/docs/integrations/document_loaders/airtable | ComponentsDocument loadersAirtableAirtablepip install pyairtablefrom langchain.document_loaders import AirtableLoaderGet your API key here.Get ID of your base here.Get your table ID from the table url as shown here.api_key = "xxx"base_id = "xxx"table_id = "xxx"loader = AirtableLoader(api_key, table_id, base_id)docs = l... |
449 | https://python.langchain.com/docs/integrations/document_loaders/alibaba_cloud_maxcompute | ComponentsDocument loadersAlibaba Cloud MaxComputeOn this pageAlibaba Cloud MaxComputeAlibaba Cloud MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed com... |
450 | https://python.langchain.com/docs/integrations/document_loaders/apify_dataset | ComponentsDocument loadersApify DatasetOn this pageApify DatasetApify Dataset is a scaleable append-only storage with sequential access built for storing structured web scraping results, such as a list of products or Google SERPs, and then export them to various formats like JSON, CSV, or Excel. Datasets are mainly use... |
451 | https://python.langchain.com/docs/integrations/document_loaders/arcgis | ComponentsDocument loadersArcGISOn this pageArcGISThis notebook demonstrates the use of the langchain.document_loaders.ArcGISLoader class.You will need to install the ArcGIS API for Python arcgis and, optionally, bs4.BeautifulSoup.You can use an arcgis.gis.GIS object for authenticated data loading, or leave it blank to... |
452 | https://python.langchain.com/docs/integrations/document_loaders/arxiv | ComponentsDocument loadersArxivOn this pageArxivarXiv is an open-access archive 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 scie... |
453 | https://python.langchain.com/docs/integrations/document_loaders/assemblyai | ComponentsDocument loadersAssemblyAI Audio TranscriptsOn this pageAssemblyAI Audio TranscriptsThe AssemblyAIAudioTranscriptLoader allows to transcribe audio files with the AssemblyAI API and loads the transcribed text into documents.To use it, you should have the assemblyai python package installed, and the
environment... |
454 | https://python.langchain.com/docs/integrations/document_loaders/async_chromium | ComponentsDocument loadersAsync ChromiumAsync ChromiumChromium is one of the browsers supported by Playwright, a library used to control browser automation. By running p.chromium.launch(headless=True), we are launching a headless instance of Chromium. Headless mode means that the browser is running without a graphical ... |
455 | https://python.langchain.com/docs/integrations/document_loaders/async_html | ComponentsDocument loadersAsyncHtmlAsyncHtmlAsyncHtmlLoader loads raw HTML from a list of URLs concurrently.from langchain.document_loaders import AsyncHtmlLoaderurls = ["https://www.espn.com", "https://lilianweng.github.io/posts/2023-06-23-agent/"]loader = AsyncHtmlLoader(urls)docs = loader.load() Fetching pages: 1... |
456 | https://python.langchain.com/docs/integrations/document_loaders/aws_s3_directory | ComponentsDocument loadersAWS S3 DirectoryOn this pageAWS S3 DirectoryAmazon Simple Storage Service (Amazon S3) is an object storage serviceAWS S3 DirectoryThis covers how to load document objects from an AWS S3 Directory object.#!pip install boto3from langchain.document_loaders import S3DirectoryLoaderloader = S3Direc... |
457 | https://python.langchain.com/docs/integrations/document_loaders/aws_s3_file | ComponentsDocument loadersAWS S3 FileOn this pageAWS S3 FileAmazon Simple Storage Service (Amazon S3) is an object storage service.AWS S3 BucketsThis covers how to load document objects from an AWS S3 File object.from langchain.document_loaders import S3FileLoader#!pip install boto3loader = S3FileLoader("testing-hwc", ... |
458 | https://python.langchain.com/docs/integrations/document_loaders/azlyrics | ComponentsDocument loadersAZLyricsAZLyricsAZLyrics is a large, legal, every day growing collection of lyrics.This covers how to load AZLyrics webpages into a document format that we can use downstream.from langchain.document_loaders import AZLyricsLoaderloader = AZLyricsLoader("https://www.azlyrics.com/lyrics/mileycyru... |
459 | https://python.langchain.com/docs/integrations/document_loaders/azure_blob_storage_container | ComponentsDocument loadersAzure Blob Storage ContainerOn this pageAzure 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. Unstructured data is data that doesn't adhere to a particular data model or d... |
460 | https://python.langchain.com/docs/integrations/document_loaders/azure_blob_storage_file | ComponentsDocument loadersAzure Blob Storage FileAzure Blob Storage FileAzure 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 ... |
461 | https://python.langchain.com/docs/integrations/document_loaders/azure_document_intelligence | ComponentsDocument loadersAzure Document IntelligenceOn this pageAzure Document IntelligenceAzure Document Intelligence (formerly known as Azure Forms Recognizer) is machine-learning
based service that extracts text (including handwriting), tables or key-value-pairs from
scanned documents or images.This current impleme... |
462 | https://python.langchain.com/docs/integrations/document_loaders/bibtex | ComponentsDocument loadersBibTeXOn this pageBibTeXBibTeX is a file format and reference management system commonly used in conjunction with LaTeX typesetting. It serves as a way to organize and store bibliographic information for academic and research documents.BibTeX files have a .bib extension and consist of plain te... |
463 | https://python.langchain.com/docs/integrations/document_loaders/bilibili | ComponentsDocument loadersBiliBiliBiliBiliBilibili is one of the most beloved long-form video sites in China.This loader utilizes the bilibili-api to fetch the text transcript from Bilibili.With this BiliBiliLoader, users can easily obtain the transcript of their desired video content on the platform.#!pip install bili... |
464 | https://python.langchain.com/docs/integrations/document_loaders/blackboard | ComponentsDocument loadersBlackboardBlackboardBlackboard Learn (previously the Blackboard Learning Management System) is a web-based virtual learning environment and learning management system developed by Blackboard Inc. The software features course management, customizable open architecture, and scalable design that ... |
465 | https://python.langchain.com/docs/integrations/document_loaders/blockchain | ComponentsDocument loadersBlockchainOn this pageBlockchainOverviewThe intention of this notebook is to provide a means of testing functionality in the Langchain Document Loader for Blockchain.Initially this Loader supports:Loading NFTs as Documents from NFT Smart Contracts (ERC721 and ERC1155)Ethereum Mainnnet, Ethere... |
466 | https://python.langchain.com/docs/integrations/document_loaders/brave_search | ComponentsDocument loadersBrave SearchOn this pageBrave SearchBrave Search is a search engine developed by Brave Software.Brave Search uses its own web index. As of May 2022, it covered over 10 billion pages and was used to serve 92%
of search results without relying on any third-parties, with the remainder being retri... |
467 | https://python.langchain.com/docs/integrations/document_loaders/browserless | ComponentsDocument loadersBrowserlessBrowserlessBrowserless 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.To use Browserless as a document loader, initialize a Browserle... |
468 | https://python.langchain.com/docs/integrations/document_loaders/chatgpt_loader | ComponentsDocument loadersChatGPT DataChatGPT DataChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI.This notebook covers how to load conversations.json from your ChatGPT data export folder.You can get your data export by email by going to: https://chat.openai.com/ -> (Profile) - Settings -> Export ... |
469 | https://python.langchain.com/docs/integrations/document_loaders/college_confidential | ComponentsDocument loadersCollege ConfidentialCollege ConfidentialCollege Confidential gives information on 3,800+ colleges and universities.This covers how to load College Confidential webpages into a document format that we can use downstream.from langchain.document_loaders import CollegeConfidentialLoaderloader = Co... |
470 | https://python.langchain.com/docs/integrations/document_loaders/concurrent | ComponentsDocument loadersConcurrent LoaderConcurrent LoaderWorks just like the GenericLoader but concurrently for those who choose to optimize their workflow.from langchain.document_loaders import ConcurrentLoaderloader = ConcurrentLoader.from_filesystem('example_data/', glob="**/*.txt")files = loader.load()len(files)... |
471 | https://python.langchain.com/docs/integrations/document_loaders/confluence | ComponentsDocument loadersConfluenceOn this pageConfluenceConfluence 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.This currently supports username/api_key,... |
472 | https://python.langchain.com/docs/integrations/document_loaders/conll-u | ComponentsDocument loadersCoNLL-UCoNLL-UCoNLL-U is revised version of the CoNLL-X format. Annotations are encoded in plain text files (UTF-8, normalized to NFC, using only the LF character as line break, including an LF character at the end of file) with three types of lines:Word lines containing the annotation of a wo... |
473 | https://python.langchain.com/docs/integrations/document_loaders/copypaste | ComponentsDocument loadersCopy PasteOn this pageCopy PasteThis notebook covers how to load a document object from something you just want to copy and paste. In this case, you don't even need to use a DocumentLoader, but rather can just construct the Document directly.from langchain.docstore.document import Documenttext... |
474 | https://python.langchain.com/docs/integrations/document_loaders/csv | ComponentsDocument loadersCSVOn this pageCSVA comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.Load csv data with a single row per document.from langchain.document_load... |
475 | https://python.langchain.com/docs/integrations/document_loaders/cube_semantic | ComponentsDocument loadersCube Semantic LayerOn this pageCube Semantic LayerThis notebook demonstrates the process of retrieving Cube's data model metadata in a format suitable for passing to LLMs as embeddings, thereby enhancing contextual information.About CubeCube is the Semantic Layer for building data apps. It he... |
476 | https://python.langchain.com/docs/integrations/document_loaders/datadog_logs | ComponentsDocument loadersDatadog LogsDatadog LogsDatadog is a monitoring and analytics platform for cloud-scale applications.This loader fetches the logs from your applications in Datadog using the datadog_api_client Python package. You must initialize the loader with your Datadog API key and APP key, and you need to ... |
477 | https://python.langchain.com/docs/integrations/document_loaders/diffbot | ComponentsDocument loadersDiffbotDiffbotUnlike traditional web scraping tools, Diffbot doesn't require any rules to read the content on a page.
It starts with computer vision, which classifies a page into one of 20 possible types. Content is then interpreted by a machine learning model trained to identify the key attri... |
478 | https://python.langchain.com/docs/integrations/document_loaders/discord | ComponentsDocument loadersDiscordDiscordDiscord 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 c... |
479 | https://python.langchain.com/docs/integrations/document_loaders/docugami | ComponentsDocument loadersDocugamiOn this pageDocugamiThis notebook covers how to load documents from Docugami. It provides the advantages of using this system over alternative data loaders.PrerequisitesInstall necessary python packages.Grab an access token for your workspace, and make sure it is set as the DOCUGAMI_A... |
480 | https://python.langchain.com/docs/integrations/document_loaders/dropbox | ComponentsDocument loadersDropboxOn this pageDropboxDrobpox is a file hosting service that brings everything-traditional files, cloud content, and web shortcuts together in one place.This notebook covers how to load documents from Dropbox. In addition to common files such as text and PDF files, it also supports Dropbox... |
481 | https://python.langchain.com/docs/integrations/document_loaders/duckdb | ComponentsDocument loadersDuckDBOn this pageDuckDBDuckDB is an in-process SQL OLAP database management system.Load a DuckDB query with one document per row.#!pip install duckdbfrom langchain.document_loaders import DuckDBLoaderTeam,PayrollNationals,81.34Reds,82.20 Writing example.csvloader = DuckDBLoader("SELECT * F... |
482 | https://python.langchain.com/docs/integrations/document_loaders/email | ComponentsDocument loadersEmailOn this pageEmailThis notebook shows how to load email (.eml) or Microsoft Outlook (.msg) files.Using Unstructured#!pip install unstructuredfrom langchain.document_loaders import UnstructuredEmailLoaderloader = UnstructuredEmailLoader("example_data/fake-email.eml")data = loader.load()dat... |
483 | https://python.langchain.com/docs/integrations/document_loaders/embaas | ComponentsDocument loadersEmbaasOn 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.PrerequisitesCreate a free embaas account at https://embaas.io/register a... |
484 | https://python.langchain.com/docs/integrations/document_loaders/epub | ComponentsDocument loadersEPubOn this pageEPubEPUB 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 covers ... |
485 | https://python.langchain.com/docs/integrations/document_loaders/etherscan | ComponentsDocument loadersEtherscanOn this pageEtherscanEtherscan is the leading blockchain explorer, search, API and analytics platform for Ethereum,
a decentralized smart contracts platform.OverviewThe Etherscan loader use Etherscan API to load transacactions histories under specific account on Ethereum Mainnet.You... |
486 | https://python.langchain.com/docs/integrations/document_loaders/evernote | ComponentsDocument loadersEverNoteEverNoteEverNote 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 (.ene... |
487 | https://python.langchain.com/docs/integrations/document_loaders/example_data/notebook | ComponentsDocument loadersexample_dataNotebookNotebookThis notebook covers how to load data from an .ipynb notebook into a format suitable by LangChain.from langchain.document_loaders import NotebookLoaderloader = NotebookLoader("example_data/notebook.ipynb")NotebookLoader.load() loads the .ipynb notebook file into a D... |
488 | https://python.langchain.com/docs/integrations/document_loaders/excel | ComponentsDocument loadersMicrosoft ExcelMicrosoft 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 of the Excel file will be ... |
489 | https://python.langchain.com/docs/integrations/document_loaders/facebook_chat | ComponentsDocument loadersFacebook ChatFacebook ChatMessenger is an American proprietary instant messaging app and platform developed by Meta Platforms. Originally developed as Facebook Chat in 2008, the company revamped its messaging service in 2010.This notebook covers how to load data from the Facebook Chats into a ... |
490 | https://python.langchain.com/docs/integrations/document_loaders/fauna | ComponentsDocument loadersFaunaOn this pageFaunaFauna is a Document Database.Query Fauna documents#!pip install faunaQuery data examplefrom langchain.document_loaders.fauna import FaunaLoadersecret = "<enter-valid-fauna-secret>"query = "Item.all()" # Fauna query. Assumes that the collection is called "Item"field = "t... |
491 | https://python.langchain.com/docs/integrations/document_loaders/figma | ComponentsDocument loadersFigmaFigmaFigma 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 osfrom langchain.document_loaders.figma import FigmaFileL... |
492 | https://python.langchain.com/docs/integrations/document_loaders/geopandas | ComponentsDocument loadersGeopandasGeopandasGeopandas is an open source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file... |
493 | https://python.langchain.com/docs/integrations/document_loaders/git | ComponentsDocument loadersGitOn this pageGitGit 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 development.This notebook shows how to load text files from Git repository... |
494 | https://python.langchain.com/docs/integrations/document_loaders/gitbook | ComponentsDocument loadersGitBookOn this pageGitBookGitBook is a modern documentation platform where teams can document everything from products to internal knowledge bases and APIs.This notebook shows how to pull page data from any GitBook.from langchain.document_loaders import GitbookLoaderLoad from single GitBook pa... |
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