id stringlengths 14 15 | text stringlengths 23 2.21k | source stringlengths 52 97 |
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9b61bfd69c8f-2 | Check here to get or create a PAT.Dependencies# Install required dependenciespip install clarifaiImportsHere we will be setting the personal access token. You can find your PAT under settings/security in your Clarifai account.# Please login and get your API key from https://clarifai.com/settings/securityfrom getpass i... | https://python.langchain.com/docs/integrations/text_embedding/clarifai |
1f8a349dcb04-0 | AzureOpenAI | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElas... | https://python.langchain.com/docs/integrations/text_embedding/azureopenai |
c68bbe4138b6-0 | DeepInfra | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/text_embedding/deepinfra |
c68bbe4138b6-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasticsearchEmbaasFake EmbeddingsGoogle Clou... | https://python.langchain.com/docs/integrations/text_embedding/deepinfra |
c68bbe4138b6-2 | numpy as npquery_numpy = np.array(query_result)for doc_res, doc in zip(document_result, docs): document_numpy = np.array(doc_res) similarity = np.dot(query_numpy, document_numpy) / ( np.linalg.norm(query_numpy) * np.linalg.norm(document_numpy) ) print(f'Cosine similarity between "{doc}" and query: {s... | https://python.langchain.com/docs/integrations/text_embedding/deepinfra |
19becf89d37a-0 | Sentence Transformers Embeddings | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers |
19becf89d37a-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasticsearchEmbaasFake EmbeddingsGoogle Clou... | https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers |
19becf89d37a-2 | "This is not a test document."])PreviousSelf Hosted EmbeddingsNextSpacy EmbeddingCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers |
02bd788d7267-0 | NLP Cloud | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud |
02bd788d7267-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasticsearchEmbaasFake EmbeddingsGoogle Clou... | https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud |
02bd788d7267-2 | import NLPCloudEmbeddingsimport osos.environ["NLPCLOUD_API_KEY"] = "xxx"nlpcloud_embd = NLPCloudEmbeddings()text = "This is a test document."query_result = nlpcloud_embd.embed_query(text)doc_result = nlpcloud_embd.embed_documents([text])PreviousMosaicML embeddingsNextOpenAICommunityDiscordTwitterGitHubPythonJS/TSMoreHo... | https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud |
afb6d96612e7-0 | Hugging Face Hub | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfr... | https://python.langchain.com/docs/integrations/text_embedding/huggingfacehub |
a2b0acbf399d-0 | Jina | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasticsear... | https://python.langchain.com/docs/integrations/text_embedding/jina |
2670fa9ca3b6-0 | InstructEmbeddings | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepIn... | https://python.langchain.com/docs/integrations/text_embedding/instruct_embeddings |
db7f24559a92-0 | Llama-cpp | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasti... | https://python.langchain.com/docs/integrations/text_embedding/llamacpp |
ed2226654081-0 | MiniMax | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/text_embedding/minimax |
ed2226654081-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasticsearchEmbaasFake EmbeddingsGoogle Clou... | https://python.langchain.com/docs/integrations/text_embedding/minimax |
bd19b592c9e4-0 | Embaas | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/text_embedding/embaas |
bd19b592c9e4-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasticsearchEmbaasFake EmbeddingsGoogle Clou... | https://python.langchain.com/docs/integrations/text_embedding/embaas |
bd19b592c9e4-2 | Print created embeddingsfor i, doc_text_embedding in enumerate(doc_texts_embeddings): print(f"Embedding for document {i + 1}: {doc_text_embedding}")# Using a different model and/or custom instructionembeddings = EmbaasEmbeddings( model="instructor-large", instruction="Represent the Wikipedia document for retri... | https://python.langchain.com/docs/integrations/text_embedding/embaas |
2f9d1c00b0d2-0 | Fake Embeddings | 🦜�🔗 Langchain
Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfra... | https://python.langchain.com/docs/integrations/text_embedding/fake |
fada6034a465-0 | Agent toolkits | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/ |
fada6034a465-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/ |
fada6034a465-2 | The agent is able to iteratively explore the blob to find what it needs to answer the user's question.📄� Multion ToolkitThis notebook walks you through connecting LangChain to the MultiOn Client in your browser📄� Office365 ToolkitThis notebook walks through connecting LangChain to Office365 email and calendar... | https://python.langchain.com/docs/integrations/toolkits/ |
fada6034a465-3 | Spark SQL AgentThis notebook shows how to use agents to interact with a Spark SQL. Similar to SQL Database Agent, it is designed to address general inquiries about Spark SQL and facilitate error recovery.📄� SQL Database AgentThis notebook showcases an agent designed to interact with a sql databases. The agent buil... | https://python.langchain.com/docs/integrations/toolkits/ |
8310ca4ca42c-0 | Spark Dataframe Agent | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-2 | address Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 23/05/15 20:33:10 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable +-----------+--------+-----... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-3 | 3| 1| 3|Heikkinen, Miss. ...|female|26.0| 0| 0|STON/O2. 3101282| 7.925| null| S| | 4| 1| 1|Futrelle, Mrs. Ja...|female|35.0| 1| 0| 113803| 53.1| C123| S| | 5| 0| 3|Allen, Mr. Willia...| male|35.0| 0| 0| 373450| 8... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-4 | Tim...| male|54.0| 0| 0| 17463|51.8625| E46| S| | 8| 0| 3|Palsson, Master. ...| male| 2.0| 3| 1| 349909| 21.075| null| S| | 9| 1| 3|Johnson, Mrs. Osc...|female|27.0| 0| 2| 347742|11.1333| null| S| | ... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-5 | 16.7| G6| S| | 12| 1| 1|Bonnell, Miss. El...|female|58.0| 0| 0| 113783| 26.55| C103| S| | 13| 0| 3|Saundercock, Mr. ...| male|20.0| 0| 0| A/5. 2151| 8.05| null| S| | 14| 0| 3|Andersson, Mr. An...| male|39.... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-6 | 16| 1| 2|Hewlett, Mrs. (Ma...|female|55.0| 0| 0| 248706| 16.0| null| S| | 17| 0| 3|Rice, Master. Eugene| male| 2.0| 4| 1| 382652| 29.125| null| Q| | 18| 1| 2|Williams, Mr. Cha...| male|null| 0| 0| 244373| ... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-7 | 0| 0| 2649| 7.225| null| C| +-----------+--------+------+--------------------+------+----+-----+-----+----------------+-------+-----+--------+ only showing top 20 rows agent = create_spark_dataframe_agent(llm=OpenAI(temperature=0), df=df, verbose=True)agent.run("how many rows are there?") ... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-8 | > Entering new AgentExecutor chain... Thought: I need to get the average age first Action: python_repl_ast Action Input: df.agg({"Age": "mean"}).collect()[0][0] Observation: 29.69911764705882 Thought: I now have the average age, I need to get the square root Action: python_repl_ast Action Input: ma... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-9 | Spark session on the client where our application runs. Before we can do that, we need# to make sure to stop the existing regular Spark session because it cannot coexist with the remote# Spark Connect session we are about to create.SparkSession.builder.master("local[*]").getOrCreate().stop() 23/05/08 10:06:09 WARN U... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-10 | S| | 2| 1| 1|Cumings, Mrs. Joh...|female|38.0| 1| 0| PC 17599|71.2833| C85| C| | 3| 1| 3|Heikkinen, Miss. ...|female|26.0| 0| 0|STON/O2. 3101282| 7.925| null| S| | 4| 1| 1|Futrelle, Mrs. Ja...|female|35.0| 1| 0| ... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-11 | 0| 3| Moran, Mr. James| male|null| 0| 0| 330877| 8.4583| null| Q| | 7| 0| 1|McCarthy, Mr. Tim...| male|54.0| 0| 0| 17463|51.8625| E46| S| | 8| 0| 3|Palsson, Master. ...| male| 2.0| 3| 1| 349909| 21.075| null... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-12 | 1| 0| 237736|30.0708| null| C| | 11| 1| 3|Sandstrom, Miss. ...|female| 4.0| 1| 1| PP 9549| 16.7| G6| S| | 12| 1| 1|Bonnell, Miss. El...|female|58.0| 0| 0| 113783| 26.55| C103| S| | 13| 0| 3|Sau... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-13 | null| S| | 15| 0| 3|Vestrom, Miss. Hu...|female|14.0| 0| 0| 350406| 7.8542| null| S| | 16| 1| 2|Hewlett, Mrs. (Ma...|female|55.0| 0| 0| 248706| 16.0| null| S| | 17| 0| 3|Rice, Master. Eugene| male| 2.0| ... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-14 | 3|Vander Planke, Mr...|female|31.0| 1| 0| 345763| 18.0| null| S| | 20| 1| 3|Masselmani, Mrs. ...|female|null| 0| 0| 2649| 7.225| null| C| +-----------+--------+------+--------------------+------+----+-----+-----+----------------+-------+-----+------... | https://python.langchain.com/docs/integrations/toolkits/spark |
8310ca4ca42c-15 | Miss. Anna', Sex='female', Age=35.0, SibSp=0, Parch=0, Ticket='PC 17755', Fare=512.3292, Cabin=None, Embarked='C') Thought: I now know the name of the person who bought the most expensive ticket Final Answer: Miss. Anna Ward > Finished chain. 'Miss. Anna Ward'spark.stop()PreviousPython AgentNextSpark SQ... | https://python.langchain.com/docs/integrations/toolkits/spark |
c0a387cbb7ac-0 | Spark SQL Agent | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-2 | use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 23/05/18 16:03:10 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable +-----------+--------+------+--------------------+------+----+-----+-----+----------------+-------+---... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-3 | Miss. ...|female|26.0| 0| 0|STON/O2. 3101282| 7.925| null| S| | 4| 1| 1|Futrelle, Mrs. Ja...|female|35.0| 1| 0| 113803| 53.1| C123| S| | 5| 0| 3|Allen, Mr. Willia...| male|35.0| 0| 0| 373450| 8.05| null| S| | ... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-4 | 17463|51.8625| E46| S| | 8| 0| 3|Palsson, Master. ...| male| 2.0| 3| 1| 349909| 21.075| null| S| | 9| 1| 3|Johnson, Mrs. Osc...|female|27.0| 0| 2| 347742|11.1333| null| S| | 10| 1| 2|Nasser, Mrs. Nich...|f... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-5 | 12| 1| 1|Bonnell, Miss. El...|female|58.0| 0| 0| 113783| 26.55| C103| S| | 13| 0| 3|Saundercock, Mr. ...| male|20.0| 0| 0| A/5. 2151| 8.05| null| S| | 14| 0| 3|Andersson, Mr. An...| male|39.0| 1| 5| 347082| 31... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-6 | (Ma...|female|55.0| 0| 0| 248706| 16.0| null| S| | 17| 0| 3|Rice, Master. Eugene| male| 2.0| 4| 1| 382652| 29.125| null| Q| | 18| 1| 2|Williams, Mr. Cha...| male|null| 0| 0| 244373| 13.0| null| S| | ... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-7 | 7.225| null| C| +-----------+--------+------+--------------------+------+----+-----+-----+----------------+-------+-----+--------+ only showing top 20 rows # Note, you can also connect to Spark via Spark connect. For example:# db = SparkSQL.from_uri("sc://localhost:15002", schema=schema)spark_sql = Spark... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-8 | 3 rows from titanic table: PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.25 None S 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female 38.0 1 0 PC 17599 ... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-9 | male, Age: 22.0, SibSp: 1, Parch: 0, Ticket: A/5 21171, Fare: 7.25, Cabin: None, Embarked: S 2. PassengerId: 2, Survived: 1, Pclass: 1, Name: Cumings, Mrs. John Bradley (Florence Briggs Thayer), Sex: female, Age: 38.0, SibSp: 1, Parch: 0, Ticket: PC 17599, Fare: 71.2833, Cabin: C85, Embarked: C 3. PassengerId: 3,... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-10 | Cabin: None, Embarked: S\n2. PassengerId: 2, Survived: 1, Pclass: 1, Name: Cumings, Mrs. John Bradley (Florence Briggs Thayer), Sex: female, Age: 38.0, SibSp: 1, Parch: 0, Ticket: PC 17599, Fare: 71.2833, Cabin: C85, Embarked: C\n3. PassengerId: 3, Survived: 1, Pclass: 3, Name: Heikkinen, Miss. Laina, Sex: female, Age:... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-11 | DOUBLE, Cabin STRING, Embarked STRING) ; /* 3 rows from titanic table: PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.25 None S 2 1 1 Cumings, Mrs. John... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-12 | titanic Thought:The query is correct, so I can execute it to find the square root of the average age. Action: query_sql_db Action Input: SELECT SQRT(AVG(Age)) as square_root_of_avg_age FROM titanic Observation: [('5.449689683556195',)] Thought:I now know the final answer Final Answer: The square root ... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-13 | Sex Age SibSp Parch Ticket Fare Cabin Embarked 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.25 None S 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Thayer) female 38.0 1 0 PC 17599 71.2833 C85 C 3 1 3 Heikkinen, Miss. Laina female 26.0 ... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
c0a387cbb7ac-14 | Algernon Henry Wilson', '80.0')] Thought:I now know the final answer. Final Answer: The oldest survived passenger is Barkworth, Mr. Algernon Henry Wilson, who was 80 years old. > Finished chain. 'The oldest survived passenger is Barkworth, Mr. Algernon Henry Wilson, who was 80 years old.'PreviousSpark D... | https://python.langchain.com/docs/integrations/toolkits/spark_sql |
f4b7f78d0116-0 | Natural Language APIs | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-2 | "https://api.speak.com/openapi.yaml")klarna_toolkit = NLAToolkit.from_llm_and_url( llm, "https://www.klarna.com/us/shopping/public/openai/v0/api-docs/") Attempting to load an OpenAPI 3.0.1 spec. This may result in degraded performance. Convert your OpenAPI spec to 3.1.* spec for better support. Attempting to ... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-3 | = initialize_agent( natural_language_tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, agent_kwargs={"format_instructions": openapi_format_instructions},)mrkl.run( "I have an end of year party for my Italian class and have to buy some Italian clothes for it") > Entering... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-4 | endpoints may require user authentication via things like access tokens. Here we show how to pass in the authentication information via the Requests wrapper object.Since each NLATool exposes a concisee natural language interface to its wrapped API, the top level conversational agent has an easier job incorporating each... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-5 | for parameter Accept. Valid values are ['path', 'query'] Ignoring optional parameter Unsupported APIPropertyLocation "header" for parameter Content-Type. Valid values are ['path', 'query'] Ignoring optional parameter Unsupported APIPropertyLocation "header" for parameter Accept. Valid values are ['path', 'query']... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-6 | spoonacular_toolkit.get_tools()[:30])print(f"{len(natural_language_api_tools)} tools loaded.") 34 tools loaded.# Create an agent with the new toolsmrkl = initialize_agent( natural_language_api_tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True, agent_kwargs={"format_instructions": o... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-7 | Miami Cuban Link Chain Necklace - Gold, Italian Gold Miami Cuban Link Chain Necklace - Gold, Italian Gold Herringbone Necklace - Gold, Italian Gold Claddagh Ring - Gold, Italian Gold Herringbone Chain Necklace - Gold, Garmin QuickFit 22mm Italian Vacchetta Leather Band, Macy's Italian Horn Charm - Gold, Dolce & Gabbana... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
f4b7f78d0116-8 | "Tell the LangChain audience to 'enjoy the meal' in Italian, please!") "In Italian, you can say 'Buon appetito' to someone to wish them to enjoy their meal. This phrase is commonly used in Italy when someone is about to eat, often at the beginning of a meal. It's similar to saying 'Bon appétit' in French or 'Guten ... | https://python.langchain.com/docs/integrations/toolkits/openapi_nla |
a1f8f1847f4b-0 | Jira | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/jira |
a1f8f1847f4b-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/jira |
a1f8f1847f4b-2 | JIRA_API_TOKEN
JIRA_USERNAME
JIRA_INSTANCE_URL%pip install atlassian-python-apiimport osfrom langchain.agents import AgentTypefrom langchain.agents import initialize_agentfrom langchain.agents.agent_toolkits.jira.toolkit import JiraToolkitfrom langchain.llms import OpenAIfrom langchain.utilities.jira import JiraAPIWrap... | https://python.langchain.com/docs/integrations/toolkits/jira |
300f32fa972a-0 | Python Agent | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/python |
300f32fa972a-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/python |
300f32fa972a-2 | tool=PythonREPLTool(), verbose=True, agent_type=AgentType.OPENAI_FUNCTIONS, agent_executor_kwargs={"handle_parsing_errors": True},)Fibonacci Example​This example was created by John Wiseman.agent_executor.run("What is the 10th fibonacci number?") > Entering new chain... Invoking: `Python_R... | https://python.langchain.com/docs/integrations/toolkits/python |
300f32fa972a-3 | Define the neural network\nclass SingleNeuron(nn.Module):\n def __init__(self):\n super(SingleNeuron, self).__init__()\n self.linear = nn.Linear(1, 1)\n \n def forward(self, x):\n return self.linear(x)\n\n# Create the synthetic data\nx_train = torch.tensor([[1.0], [2.0], [3.0], [4.0]],... | https://python.langchain.com/docs/integrations/toolkits/python |
300f32fa972a-4 | dtype=torch.float32)\ny_pred = model(x_test)\ny_pred.item()'} because the `arguments` is not valid JSON.Invalid or incomplete response Invoking: `Python_REPL` with `import torch import torch.nn as nn import torch.optim as optim # Define the neural network class SingleNeuron(nn.Module): def __i... | https://python.langchain.com/docs/integrations/toolkits/python |
300f32fa972a-5 | # Compute loss loss = criterion(y_pred, y_train) # Backward pass and optimization optimizer.zero_grad() loss.backward() optimizer.step() # Print the loss every 100 epochs if epoch % 100 == 0: print(f"Epoch {epoch}: Loss = {loss.item()}") ... | https://python.langchain.com/docs/integrations/toolkits/python |
300f32fa972a-6 | 0.00017328384274151176 Invoking: `Python_REPL` with `x_test.item()` The prediction for x = 5 is 10.000173568725586. > Finished chain. 'The prediction for x = 5 is 10.000173568725586.'PreviousPowerBI Dataset AgentNextSpark Dataframe AgentUsing ZERO_SHOT_REACT_DESCRIPTIONUsing OpenAI Functions... | https://python.langchain.com/docs/integrations/toolkits/python |
7dee5fea66db-0 | Multion Toolkit | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/multion |
7dee5fea66db-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/multion |
eb7b2074c7cf-0 | Vectorstore Agent | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/vectorstore |
eb7b2074c7cf-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/vectorstore |
eb7b2074c7cf-2 | = Chroma.from_documents(ruff_texts, embeddings, collection_name="ruff") Running Chroma using direct local API. Using DuckDB in-memory for database. Data will be transient.Initialize Toolkit and Agent​First, we'll create an agent with a single vectorstore.from langchain.agents.agent_toolkits import ( create_v... | https://python.langchain.com/docs/integrations/toolkits/vectorstore |
eb7b2074c7cf-3 | one of the nation's top legal minds and that she will continue Justice Breyer's legacy of excellence."agent_executor.run( "What did biden say about ketanji brown jackson in the state of the union address? List the source.") > Entering new AgentExecutor chain... I need to use the state_of_union_address... | https://python.langchain.com/docs/integrations/toolkits/vectorstore |
eb7b2074c7cf-4 | langchain.agents.agent_toolkits import ( create_vectorstore_router_agent, VectorStoreRouterToolkit, VectorStoreInfo,)ruff_vectorstore_info = VectorStoreInfo( name="ruff", description="Information about the Ruff python linting library", vectorstore=ruff_store,)router_toolkit = VectorStoreRouterToolkit(... | https://python.langchain.com/docs/integrations/toolkits/vectorstore |
eb7b2074c7cf-5 | > Entering new AgentExecutor chain... I need to find out what tool ruff uses to run over Jupyter Notebooks Action: ruff Action Input: What tool does ruff use to run over Jupyter Notebooks? Observation: Ruff is integrated into nbQA, a tool for running linters and code formatters over Jupyter Notebooks. Aft... | https://python.langchain.com/docs/integrations/toolkits/vectorstore |
eb7b2074c7cf-6 | a tool for running linters and code formatters over Jupyter Notebooks. After installing ruff and nbqa, you can run Ruff over a notebook like so: > nbqa ruff Untitled.html Thought: I need to find out if the president mentioned nbQA in the state of the union. Action: state_of_union_address Action Input: Did the ... | https://python.langchain.com/docs/integrations/toolkits/vectorstore |
0ad455347823-0 | Gmail Toolkit | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/gmail |
0ad455347823-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/gmail |
0ad455347823-2 | you can manually build a googleapi resource for more auth control. from langchain.tools.gmail.utils import build_resource_service, get_gmail_credentials# Can review scopes here https://developers.google.com/gmail/api/auth/scopes# For instance, readonly scope is 'https://www.googleapis.com/auth/gmail.readonly'credential... | https://python.langchain.com/docs/integrations/toolkits/gmail |
0ad455347823-3 | object at 0x10e5c6d10>), GmailGetMessage(name='get_gmail_message', description='Use this tool to fetch an email by message ID. Returns the thread ID, snipet, body, subject, and sender.', args_schema=<class 'langchain.tools.gmail.get_message.SearchArgsSchema'>, return_direct=False, verbose=False, callbacks=None, cal... | https://python.langchain.com/docs/integrations/toolkits/gmail |
0ad455347823-4 | {"detail":"Not Found"} 'I have created a draft email for you to edit. The draft Id is r5681294731961864018.'agent.run("Could you search in my drafts for the latest email?") WARNING:root:Failed to load default session, using empty session: 0 WARNING:root:Failed to persist run: {"detail":"Not Found"} "The lat... | https://python.langchain.com/docs/integrations/toolkits/gmail |
359f73b13b58-0 | Azure Cognitive Services Toolkit | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services |
359f73b13b58-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services |
359f73b13b58-2 | > /dev/null# For Windows/Linux# !pip install --upgrade azure-ai-vision > /dev/nullimport osos.environ["OPENAI_API_KEY"] = "sk-"os.environ["AZURE_COGS_KEY"] = ""os.environ["AZURE_COGS_ENDPOINT"] = ""os.environ["AZURE_COGS_REGION"] = ""Create the Toolkit​from langchain.agents.agent_toolkits import AzureCognitiveService... | https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services |
359f73b13b58-3 | } ``` Observation: Caption: a group of eggs and flour in bowls Objects: Egg, Egg, Food Tags: dairy, ingredient, indoor, thickening agent, food, mixing bowl, powder, flour, egg, bowl Thought: I can use the objects and tags to suggest recipes Action: ``` { "action": "Final Answer", ... | https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services |
359f73b13b58-4 | '/tmp/tmpa3uu_j6b.wav'from IPython import displayaudio = display.Audio(audio_file)display.display(audio)PreviousAmadeus ToolkitNextCSV AgentCreate the ToolkitUse within an AgentCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright © 2023 LangChain, Inc. | https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services |
50237cd49062-0 | Amadeus Toolkit | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/amadeus |
50237cd49062-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/amadeus |
50237cd49062-2 | = toolkit.get_tools()Use Amadeus Toolkit within an Agent​from langchain import OpenAIfrom langchain.agents import initialize_agent, AgentTypellm = OpenAI(temperature=0)agent = initialize_agent( tools=tools, llm=llm, verbose=False, agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,)agent.run("Wha... | https://python.langchain.com/docs/integrations/toolkits/amadeus |
50237cd49062-3 | a concise email from Santiago to Paul, Santiago's travel agent, asking him to book the earliest flight from DFW to DCA on Aug 28, 2023. Include all flight details in the email.") 'Dear Paul,\n\nI am writing to request that you book the earliest flight from DFW to DCA on Aug 28, 2023. The flight details are as follow... | https://python.langchain.com/docs/integrations/toolkits/amadeus |
322323d21da1-0 | SQL Database Agent | 🦜�🔗 Langchain | https://python.langchain.com/docs/integrations/toolkits/sql_database |
322323d21da1-1 | Skip to main content🦜�🔗 LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAgent toolkitsAmadeus ToolkitAzure Cognitive Services ToolkitCSV AgentDocument ComparisonGitHubGmail ToolkitJiraJSON ... | https://python.langchain.com/docs/integrations/toolkits/sql_database |
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