id stringlengths 14 15 | text stringlengths 23 2.21k | source stringlengths 52 97 |
|---|---|---|
a6197e18da7f-6 | ,1439,1128,7343,426,249,517,95,1102,14,696,1270,750,400,2208,274,2776,164,89,119,204,139,129,1710,2505,320,3,631,439,2,300,1645,172,1783,784,169,642,329,401,50,479,614,238,757,535,717,102,2,739,738,44,232,22,442,961,45,214,383,567,500,487,151,120,256,253,179,673,2,102,2,10,535,123,135,1685,5206695,190,2,20,50,198,59942... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-7 | 9,1,5,1,16,7,2,41,247,4,9,7,9,15,4,4,121,24,23944834,4042142,1964,16672,2894,6250,15739,1726,647,409,837,1411438,146986,23612960,7,84,93,33,101,816,57,532,163,1,441,86,1,951,73,31,2,345,178,243,472,2,148,962,455,167,178,29,702,1856,288,292,805,93,137,68,416,177,292,399,55,95,2566\',kBL:\'hw1A\',kOPI:89978449};google.sn... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-8 | h=this||self;function l(){return void 0!==window.google&&void 0!==window.google.kOPI&&0!==window.google.kOPI?window.google.kOPI:null};var m,n=[];function p(a){for(var b;a&&(!a.getAttribute||!(b=a.getAttribute("eid")));)a=a.parentNode;return b||m}function q(a){for(var b=null;a&&(!a.getAttribute||!(b=a.getAttribute("leid... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-9 | null};google.log=function(a,b,c,d,k,e){e=void 0===e?l:e;c||(c=t(a,b,e,d,k));if(c=r(c)){a=new Image;var g=n.length;n[g]=a;a.onerror=a.onload=a.onabort=function(){delete n[g]};a.src=c}};google.logUrl=function(a,b){b=void 0===b?l:b;return t("",a,b)};}).call(this);(function(){google.y={};google.sy=[];google.x=function(a,b)... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-10 | !important;}#gbar{height:22px}#guser{padding-bottom:7px !important;text-align:right}.gbh,.gbd{border-top:1px solid #c9d7f1;font-size:1px}.gbh{height:0;position:absolute;top:24px;width:100%}@media all{.gb1{height:22px;margin-right:.5em;vertical-align:top}#gbar{float:left}}a.gb1,a.gb4{text-decoration:underline !important... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-11 | a{display:block;margin:2px 0;margin-left:13px;font-size:11px}.lsbb{background:#f8f9fa;border:solid 1px;border-color:#dadce0 #70757a #70757a #dadce0;height:30px}.lsbb{display:block}#WqQANb a{display:inline-block;margin:0 12px}.lsb{background:url(/images/nav_logo229.png) 0 -261px repeat-x;border:none;color:#000;cursor:po... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-12 | null;q++;d=d||{};b=encodeURIComponent;var c="/gen_204?atyp=i&ei="+b(google.kEI);google.kEXPI&&(c+="&jexpid="+b(google.kEXPI));c+="&srcpg="+b(google.sn)+"&jsr="+b(t.jsr)+"&bver="+b(t.bv);var f=a.lineNumber;void 0!==f&&(c+="&line="+f);var g=\na.fileName;g&&(0<g.indexOf("-extension:/")&&(e=3),c+="&script="+b(g),f&&g===win... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-13 | nonce="MXrF0nnIBPkxBza4okrgPA">(function(){var src=\'/images/nav_logo229.png\';var iesg=false;document.body.onload = function(){window.n && window.n();if (document.images){new Image().src=src;}\nif (!iesg){document.f&&document.f.q.focus();document.gbqf&&document.gbqf.q.focus();}\n}\n})();</script><div id="mngb"><div id... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-14 | class=gb4>Web History</a> | <a href="/preferences?hl=en" class=gb4>Settings</a> | <a target=_top id=gb_70 href="https://accounts.google.com/ServiceLogin?hl=en&passive=true&continue=https://www.google.com/&ec=GAZAAQ" class=gb4>Sign in</a></nobr></div><div class=gbh style=left:0></div><div class=gbh style=right:0></div>... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-15 | class="ds"><span class="lsbb"><input class="lsb" value="Google Search" name="btnG" type="submit"></span></span><span class="ds"><span class="lsbb"><input class="lsb" id="tsuid_1" value="I\'m Feeling Lucky" name="btnI" type="submit"><script nonce="MXrF0nnIBPkxBza4okrgPA">(function(){var id=\'tsuid_1\';document.getElemen... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-16 | ActiveXObject(d),b="2"}catch(h){}}a=b;if("2"==a&&-1==location.search.indexOf("&gbv=2")){var f=google.gbvu,g=document.getElementById("gbv");g&&(g.value=a);f&&window.setTimeout(function(){location.href=f},0)};}).call(this);</script></form><div id="gac_scont"></div><div style="font-size:83%;min-height:3.5em"><br><div id="... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-17 | Asian Pacific American Heritage Month with Google</a></div></div></div><span id="footer"><div style="font-size:10pt"><div style="margin:19px auto;text-align:center" id="WqQANb"><a href="/intl/en/ads/">Advertising</a><a href="/services/">Business Solutions</a><a href="/intl/en/about.html">About Google</a></div></div><p ... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-18 | nonce="MXrF0nnIBPkxBza4okrgPA">(function(){var u=\'/xjs/_/js/k\\x3dxjs.hp.en.q0lHXBfs9JY.O/am\\x3dAAAA6AQAUABgAQ/d\\x3d1/ed\\x3d1/rs\\x3dACT90oE3ek6-fjkab6CsTH0wUEUUPhnExg/m\\x3dsb_he,d\';var amd=0;\nvar e=this||self,f=function(c){return c};var h;var n=function(c,g){this.g=g===l?c:""};n.prototype.toString=function(){re... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-19 | 0:q.call(k,"script[nonce]"))?a.nonce||a.getAttribute("nonce")||"":"")&&b.setAttribute("nonce",k);document.body.appendChild(b);google.psa=!0;google.lx=g};google.bx||google.lx()};google.xjsu=u;e._F_jsUrl=u;setTimeout(function(){0<amd?google.caft(function(){return p()},amd):p()},0);})();window._ = window._ || {};window._D... | https://python.langchain.com/docs/integrations/tools/requests |
a6197e18da7f-20 | Search\\x22,\\x22dym\\x22:\\x22Did you mean:\\x22,\\x22lcky\\x22:\\x22I\\\\u0026#39;m Feeling Lucky\\x22,\\x22lml\\x22:\\x22Learn more\\x22,\\x22psrc\\x22:\\x22This search was removed from your \\\\u003Ca href\\x3d\\\\\\x22/history\\\\\\x22\\\\u003EWeb History\\\\u003C/a\\\\u003E\\x22,\\x22psrl\\x22:\\x22Remove\\x22,\\... | https://python.langchain.com/docs/integrations/tools/requests |
c19072af2b23-0 | Human as a tool | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/tools/human_tools |
c19072af2b23-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API Wrapper... | https://python.langchain.com/docs/integrations/tools/human_tools |
c19072af2b23-2 | You can customize prompt_func and input_func according to your need (as shown below).agent_chain.run("What's my friend Eric's surname?")# Answer with 'Zhu' > Entering new AgentExecutor chain... I don't know Eric's surname, so I should ask a human for guidance. Action: Human Action Input: "What is Er... | https://python.langchain.com/docs/integrations/tools/human_tools |
c19072af2b23-3 | For instance, if you want to accept multi-line input, you could do the following:def get_input() -> str: print("Insert your text. Enter 'q' or press Ctrl-D (or Ctrl-Z on Windows) to end.") contents = [] while True: try: line = input() except EOFError: break if line ==... | https://python.langchain.com/docs/integrations/tools/human_tools |
c19072af2b23-4 | Observation: vini vidi vici Thought:I need to provide more context about the quote Action: Human Action Input: "The quote is 'Veni, vidi, vici'" The quote is 'Veni, vidi, vici' Insert your text. Enter 'q' or press Ctrl-D (or Ctrl-Z on Windows) to end. oh who said it q Observatio... | https://python.langchain.com/docs/integrations/tools/human_tools |
c19072af2b23-5 | the phrase in a letter to the Roman Senate around 47 BC after he had achieved a quick victory in his short ... veni, vidi, vici Latin quotation from Julius Caesar ve· ni, vi· di, vi· ci ˌw�-nē ˌwē-dē ˈwē-kē ˌv�-nē ˌvē-dē ˈvē-chē : I came, I saw, I conquered Articles Related to veni, vidi, vici 'In ... | https://python.langchain.com/docs/integrations/tools/human_tools |
c19072af2b23-6 | "Veni, vidi, vici" which means "I came, I saw, I conquered".'Previoushuggingface_toolsNextIFTTT WebHooksConfiguring the Input FunctionCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/integrations/tools/human_tools |
b37d57db085d-0 | DataForSeo API Wrapper | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/tools/dataforseo |
b37d57db085d-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API Wrapper... | https://python.langchain.com/docs/integrations/tools/dataforseo |
b37d57db085d-2 | Difference Between run and results​run and results are two methods provided by the DataForSeoAPIWrapper class.The run method executes the search and returns the first result snippet from the answer box, knowledge graph, featured snippet, shopping, or organic results. These elements are sorted by priority from highest... | https://python.langchain.com/docs/integrations/tools/dataforseo |
b37d57db085d-3 | params={"location_name": "Germany", "language_code": "en", "se_name": "bing"},)customized_wrapper.results("coffee near me")Customizing the Search Type​The API wrapper also allows you to specify the type of search you want to perform. For example, you can perform a maps search.maps_search = DataForSeoAPIWrapper( to... | https://python.langchain.com/docs/integrations/tools/dataforseo |
b37d57db085d-4 | with Langchain AgentsCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/integrations/tools/dataforseo |
22ef249b4db0-0 | PubMed Tool | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/tools/pubmed |
22ef249b4db0-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API Wrapper... | https://python.langchain.com/docs/integrations/tools/pubmed |
22ef249b4db0-2 | and midwifery practice and education: An editorial.\nSummary: \n\nPublished: <Year>2023</Year><Month>Jun</Month><Day>02</Day>\nTitle: The Impact of ChatGPT on the Nursing Profession: Revolutionizing Patient Care and Education.\nSummary: The nursing field has undergone notable changes over time and is projected to under... | https://python.langchain.com/docs/integrations/tools/pubmed |
f4e7592abaf2-0 | SearxNG Search API | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API Wrapper... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-2 | Parameters​SearxNG supports 135 search engines. You can also customize the Searx wrapper with arbitrary named parameters that will be passed to the Searx search API . In the below example we will making a more interesting use of custom search parameters from searx search api.In this example we will be using the engin... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-3 | from AI21 Labs—are...\n\nLarge language models (LLMs) such as GPT-3are increasingly being used to generate text. These tools should be used with care, since they can generate content that is biased, non-verifiable, constitutes original research, or violates copyrights.'Passing other Searx parameters for searx like la... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-4 | 'prompt used to steer the model, and most effective prompts … to ' 'prompt engineering, we propose Automatic Prompt …', 'title': 'Large language models are human-level prompt engineers', 'link': 'https://arxiv.org/abs/2211.01910', 'engines': ['google scholar'], 'category': 'scien... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-5 | 'fine-tuning T0 during co-training, we focus on soft prompt ' 'tuning, …', 'title': 'Co-training improves prompt-based learning for large language ' 'models', 'link': 'https://proceedings.mlr.press/v162/lang22a.html', 'engines': ['google scholar'], 'category': 'scienc... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-6 | the ' 'unique …', 'title': 'Can language models learn from explanations in context?', 'link': 'https://arxiv.org/abs/2204.02329', 'engines': ['google scholar'], 'category': 'science'}]Get papers from arxivresults = search.results( "Large Language Model prompt", num_results=5, en... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-7 | 'effective in general. Besides, the performance gaps tend to ' 'diminish when the scale of training data grows large.', 'title': 'Do Prompts Solve NLP Tasks Using Natural Language?', 'link': 'http://arxiv.org/abs/2203.00902v1', 'engines': ['arxiv'], 'category': 'science'}, {'snip... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-8 | ' 'approaches to cross-prompt AES either require a certain quantity ' 'of labelled target-prompt essays or require a large quantity of ' 'unlabelled target-prompt essays to perform transfer learning in ' 'a multi-step manner. To address these issues, we in... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-9 | 'category': 'science'}, {'snippet': 'Research on prompting has shown excellent performance with ' 'little or even no supervised training across many tasks. ' 'However, prompting for machine translation is still ' 'under-explored in the literature. We fill this gap by ... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-10 | several features of prompt examples, such as semantic ' 'similarity, show significant Spearman correlation with their ' 'prompting performance; yet, none of the correlations are strong ' 'enough; 3) using pseudo parallel prompt examples constructed ' 'from... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-11 | 'behavior. Such prompts are typically hand engineered, but can ' 'also be learned with gradient-based methods from labeled data. ' 'However, it is underexplored what factors make the prompts ' 'effective, especially when the prompts are natural language. In ' ... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-12 | ' 'accuracy across three tasks.', 'title': "Toward Human Readable Prompt Tuning: Kubrick's The Shining is a " 'good movie, and a good prompt too?', 'link': 'http://arxiv.org/abs/2212.10539v1', 'engines': ['arxiv'], 'category': 'science'}, {'snippet': 'Prevailing met... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-13 | prompt programming, ' 'emphasizing the usefulness of considering prompts through the ' 'lens of natural language. We explore techniques for exploiting ' 'the capacity of narratives and cultural anchors to encode ' 'nuanced intentions and techniques for enc... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-14 | 'engines': ['arxiv'], 'category': 'science'}]In this example we query for large language models under the it category. We then filter the results that come from github.results = search.results("large language model", num_results=20, categories="it")pprint.pp(list(filter(lambda r: r["engines"][0] == "github", resul... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-15 | 'link': 'https://gitlab.com/BrianPulfer/LMWatermark', 'engines': ['gitlab'], 'category': 'it'}, {'snippet': 'Guide to using pre-trained large language models of source code', 'title': 'Code-LMs', 'link': 'https://github.com/VHellendoorn/Code-LMs', 'engines': ['github'], 'category': 'it... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-16 | 'https://github.com/microsoft/LoRA', 'engines': ['github'], 'category': 'it'}, {'snippet': 'Code for the paper "Evaluating Large Language Models Trained on ' 'Code"', 'title': 'human-eval', 'link': 'https://github.com/openai/human-eval', 'engines': ['github'], 'category... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-17 | 'it'}, {'snippet': 'A prize for finding tasks that cause large language models to ' 'show inverse scaling', 'title': 'prize', 'link': 'https://github.com/inverse-scaling/prize', 'engines': ['github'], 'category': 'it'}, {'snippet': 'Optimus: the first large-scale pre-trained ... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-18 | 'link': 'https://github.com/OpenBioLink/ThoughtSource', 'engines': ['github'], 'category': 'it'}, {'snippet': 'A comprehensive list of papers using large language/multi-modal ' 'models for Robotics/RL, including papers, codes, and related ' 'websites', 'title': 'Awesom... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-19 | 'category': 'it'}, {'snippet': 'Design and Deploy Large Language Model Apps', 'title': 'dust', 'link': 'https://github.com/dust-tt/dust', 'engines': ['github'], 'category': 'it'}, {'snippet': 'Polyglot: Large Language Models of Well-balanced Competence in ' 'Multi-languages',... | https://python.langchain.com/docs/integrations/tools/searx_search |
f4e7592abaf2-20 | {'snippet': 'This repository contains the code, data, and models of the paper ' 'titled "XL-Sum: Large-Scale Multilingual Abstractive ' 'Summarization for 44 Languages" published in Findings of the ' 'Association for Computational Linguistics: ACL-IJCNLP 2021.', 'tit... | https://python.langchain.com/docs/integrations/tools/searx_search |
ecc342c86039-0 | awslambda | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/tools/awslambda |
ecc342c86039-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API Wrapper... | https://python.langchain.com/docs/integrations/tools/awslambda |
ecc342c86039-2 | must provide it with the name and description that match the functionality of you lambda function's logic. You must also provide the name of your function. Note that because this tool is effectively just a wrapper around the boto3 library, you will need to run aws configure in order to make use of the tool. For more de... | https://python.langchain.com/docs/integrations/tools/awslambda |
790702555cc9-0 | IFTTT WebHooks | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/tools/ifttt |
790702555cc9-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API Wrapper... | https://python.langchain.com/docs/integrations/tools/ifttt |
790702555cc9-2 | For example, if you're connecting to Spotify, you could use "Spotify" as your
Event Name.Click the "Create Trigger" button to save your settings and create your webhook.Configuring the "Then That"​Tap on the "Then That" button in the IFTTT interface.Search for the service you want to connect, such as Spotify.Choose a... | https://python.langchain.com/docs/integrations/tools/ifttt |
790702555cc9-3 | https://maker.ifttt.com/use/YOUR_IFTTT_KEY. Grab the YOUR_IFTTT_KEY value.from langchain.tools.ifttt import IFTTTWebhookimport oskey = os.environ["IFTTTKey"]url = f"https://maker.ifttt.com/trigger/spotify/json/with/key/{key}"tool = IFTTTWebhook( name="Spotify", description="Add a song to spotify playlist", url=url)t... | https://python.langchain.com/docs/integrations/tools/ifttt |
4469d76a869d-0 | Metaphor Search | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/tools/metaphor_search |
4469d76a869d-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsApifyArXiv API ToolawslambdaShell ToolBing SearchBrave SearchChatGPT PluginsDataForSeo API Wrapper... | https://python.langchain.com/docs/integrations/tools/metaphor_search |
4469d76a869d-2 | the search. If specified, results will only come from these domains. Only one of include_domains and exclude_domains should be specified.exclude_domains: Optional[List[str]] - List of domains to exclude in the search. If specified, results will only come from these domains. Only one of include_domains and exclude_domai... | https://python.langchain.com/docs/integrations/tools/metaphor_search |
4469d76a869d-3 | here.search.results( "The best blog post about AI safety is definitely this: ", 10, include_domains=["lesswrong.com"], start_published_date="2019-01-01",)Use Metaphor as a toolMetaphor can be used as a tool that gets URLs that other tools such as browsing tools.from langchain.agents.agent_toolkits import Pl... | https://python.langchain.com/docs/integrations/tools/metaphor_search |
44ec99aff3b5-0 | Grouped by provider | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by providerWandB TracingAI21 LabsAimAirbyteAirtableAleph AlphaAlibaba Cloud O... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-2 | EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by p... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-3 | OpenSearch helps develop search services in different search scenarios, including e-commerce, O2O, multimedia, the content industry, communities and forums, and big data query in enterprises.📄� Amazon API GatewayAmazon API Gateway is a fully managed service that makes it easy for developers to create, publish, mai... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-4 | ArthurArthur is a model monitoring and observability platform.📄� ArxivarXiv is an open-access archive for 2 million scholarly articles in the fields of physics,📄� AtlasDBThis page covers how to use Nomic's Atlas ecosystem within LangChain.📄� AwaDBAwaDB is an AI Native database for the search and storage ... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-5 | BananaThis page covers how to use the Banana ecosystem within LangChain.📄� BasetenLearn how to use LangChain with models deployed on Baseten.📄� BeamThis page covers how to use Beam within LangChain.📄� BedrockAmazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon avai... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-6 | we're aware, Clarifai is the only provider that supports LLMs, embeddings and a vector store in one production scale platform, making it an excellent choice to operationalize your LangChain implementations.📄� ClearMLClearML is a ML/DL development and production suite, it contains 5 main modules:📄� CnosDBCnosD... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-7 | DataForSEOThis page provides instructions on how to use the DataForSEO search APIs within LangChain.📄� DeepInfraThis page covers how to use the DeepInfra ecosystem within LangChain.📄� Deep LakeThis page covers how to use the Deep Lake ecosystem within LangChain.📄� DiffbotDiffbot is a service to read web ... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-8 | in any set of computer files, usually used for coordinating work among programmers collaboratively developing source code during software development.📄� GitBookGitBook is a modern documentation platform where teams can document everything from products to internal knowledge bases and APIs.📄� GoldenGolden prov... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-9 | and monitor LangChain. Graphsignal enables full visibility into your application. It provides latency breakdowns by chains and tools, exceptions with full context, data monitoring, compute/GPU utilization, OpenAI cost analytics, and more.📄� GrobidThis page covers how to use the Grobid to parse articles for LangCha... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-10 | use LanceDB within LangChain.📄ï¸� LangChain Decorators ✨lanchchain decorators is a layer on the top of LangChain that provides syntactic sugar ğŸ� for writing custom langchain prompts and chains📄ï¸� Llama.cppThis page covers how to use llama.cpp within LangChain.📄ï¸� MarqoThis page covers how to use the Mar... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-11 | ModalThis page covers how to use the Modal ecosystem to run LangChain custom LLMs.📄� ModelScopeThis page covers how to use the modelscope ecosystem within LangChain.📄� Modern TreasuryModern Treasury simplifies complex payment operations. It is a unified platform to power products and processes that move money... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-12 | PineconeThis page covers how to use the Pinecone ecosystem within LangChain.📄� PipelineAIThis page covers how to use the PipelineAI ecosystem within LangChain.🗃� Portkey1 items📄� PredibaseLearn how to use LangChain with models on Predibase.📄� Prediction GuardThis page covers how to use the Predictio... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-13 | database service for serving low latency, high concurrency analytical queries at scale. It builds a Converged Indexâ„¢ on structured and semi-structured data with an efficient store for vector embeddings. Its support for running SQL on schemaless data makes it a perfect choice for running vector search with metadata fi... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-14 | spaCyspaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython.📄� SpreedlySpreedly is a service that allows you to securely store credit cards and use them to transact against any number of payment gateways and third party APIs. It doe... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-15 | is a web-based project management and collaboration tool that allows individuals and teams to organize and track their tasks and projects. It provides a visual interface known as a "board" where users can create lists and cards to represent their tasks and activities.📄� TruLensThis page covers how to use TruLens t... | https://python.langchain.com/docs/integrations/providers/ |
44ec99aff3b5-16 | is an observability platform designed to monitor data pipelines and ML applications for data quality regressions, data drift, and model performance degradation. Built on top of an open-source package called whylogs, the platform enables Data Scientists and Engineers to:📄� WikipediaWikipedia is a multilingual free ... | https://python.langchain.com/docs/integrations/providers/ |
598e48e6d79c-0 | Shale Protocol | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/providers/shaleprotocol |
598e48e6d79c-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by providerWandB TracingAI21 LabsAimAirbyteAirtableAleph AlphaAlibaba Cloud O... | https://python.langchain.com/docs/integrations/providers/shaleprotocol |
598e48e6d79c-2 | EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by p... | https://python.langchain.com/docs/integrations/providers/shaleprotocol |
598e48e6d79c-3 | = "ENTER YOUR API KEY"llm = OpenAI()template = """Question: {question}# Answer: Let's think step by step."""prompt = PromptTemplate(template=template, input_variables=["question"])llm_chain = LLMChain(prompt=prompt, llm=llm)question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"llm_chain.run(q... | https://python.langchain.com/docs/integrations/providers/shaleprotocol |
92c936e7167f-0 | Jina | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/providers/jina |
92c936e7167f-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by providerWandB TracingAI21 LabsAimAirbyteAirtableAleph AlphaAlibaba Cloud O... | https://python.langchain.com/docs/integrations/providers/jina |
92c936e7167f-2 | EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by p... | https://python.langchain.com/docs/integrations/providers/jina |
92c936e7167f-3 | It is broken into two parts: installation and setup, and then references to specific Jina wrappers.Installation and Setup​Install the Python SDK with pip install jinaGet a Jina AI Cloud auth token from here and set it as an environment variable (JINA_AUTH_TOKEN)Wrappers​Embeddings​There exists a Jina Embeddings w... | https://python.langchain.com/docs/integrations/providers/jina |
92c936e7167f-4 | ) return agent_executor.run(input)Deploy on Jina AI Cloud with lc-serve deploy jcloud app. Once deployed, we can send a POST request to the API endpoint to get a response.curl -X 'POST' 'https://<your-app>.wolf.jina.ai/ask' \ -d '{ "input": "Your Quesion here?", "envs": { "OPENAI_API_KEY": "sk-***" }}'You can... | https://python.langchain.com/docs/integrations/providers/jina |
2c1a96f7a192-0 | SerpAPI | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/providers/serpapi |
2c1a96f7a192-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by providerWandB TracingAI21 LabsAimAirbyteAirtableAleph AlphaAlibaba Cloud O... | https://python.langchain.com/docs/integrations/providers/serpapi |
2c1a96f7a192-2 | EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by p... | https://python.langchain.com/docs/integrations/providers/serpapi |
2c1a96f7a192-3 | It is broken into two parts: installation and setup, and then references to the specific SerpAPI wrapper.Installation and Setup​Install requirements with pip install google-search-resultsGet a SerpAPI api key and either set it as an environment variable (SERPAPI_API_KEY)Wrappers​Utility​There exists a SerpAPI uti... | https://python.langchain.com/docs/integrations/providers/serpapi |
b3feff302ceb-0 | ClearML | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
b3feff302ceb-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by providerWandB TracingAI21 LabsAimAirbyteAirtableAleph AlphaAlibaba Cloud O... | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
b3feff302ceb-2 | EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by p... | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
b3feff302ceb-3 | Deploy new model endpoints in under 5 minutes
Includes optimized GPU serving support backed by Nvidia-Triton | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
b3feff302ceb-4 | with out-of-the-box Model MonitoringFire Reports - Create and share rich MarkDown documents supporting embeddable online contentIn order to properly keep track of your langchain experiments and their results, you can enable the ClearML integration. We use the ClearML Experiment Manager that neatly tracks and organizes ... | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
b3feff302ceb-5 | in beta and is subject to change based on updates to `langchain`. Please report any issues to https://github.com/allegroai/clearml/issues with the tag `langchain`.Scenario 1: Just an LLM​First, let's just run a single LLM a few times and capture the resulting prompt-answer conversation in ClearML# SCENARIO 1 - LLMllm... | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
b3feff302ceb-6 | me a poem'} {'action': 'on_llm_start', 'name': 'OpenAI', 'step': 3, 'starts': 2, 'ends': 1, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 1, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'prompts': 'Tell me a joke'} {'action': 'on_llm_start', '... | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
b3feff302ceb-7 | 'step': 3, 'starts': 2, 'ends': 1, 'errors': 0, 'text_ctr': 0, 'chain_starts': 0, 'chain_ends': 0, 'llm_starts': 2, 'llm_ends': 1, 'llm_streams': 0, 'tool_starts': 0, 'tool_ends': 0, 'agent_ends': 0, 'prompts': 'Tell me a poem'} {'action': 'on_llm_end', 'token_usage_prompt_tokens': 24, 'token_usage_completion_tokens... | https://python.langchain.com/docs/integrations/providers/clearml_tracking |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.