Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversAmazon KendraArcee RetrieverArxivAzure Cognitive SearchBM25ChaindeskChatGPT PluginCohere RerankerDocArrayElasticSearch BM25Google Cloud Enterprise SearchGoogle DriveGoogle Vertex AI SearchKay.aikNNLOTR (Merger Retriever)MetalPinecone Hybrid SearchPubMedRePhraseQuerySEC filingSelf-querying retrieverSVMTavily Search APITF-IDFVespaWeaviate Hybrid SearchWikipediayou-retrieverZepToolsAgents and toolkitsMemoryCallbacksChat loadersComponentsRetrieversKay.aiOn this pageKay.aiData API built for RAG üïµÔ∏è We are curating the world's largest datasets as high-quality embeddings so your AI agents can retrieve context on the fly. Latest models, fast retrieval, and zero infra.This notebook shows you how to retrieve datasets supported by Kay. You can currently search SEC Filings and Press Releases of US companies. Visit kay.ai for the latest data drops. For any questions, join our discord or tweet at usInstallationFirst you will need to install the kay package. You will also need an API key: you can get one for free at https://kay.ai. Once you have an API key, you must set it as an environment variable KAY_API_KEY.KayAiRetriever has a static .create() factory method that takes the following arguments:dataset_id: string required -- A Kay dataset id. This is a collection of data about a particular entity such as companies, people, or places. For example, try "company" data_type: List[string] optional -- This is a category within a  dataset based on its origin or format, such as ‚ÄòSEC Filings‚Äô, ‚ÄòPress Releases‚Äô, or ‚ÄòReports‚Äô within the ‚Äúcompany‚Äù dataset. For example, try ["10-K", "10-Q", "PressRelease"] under the ‚Äúcompany‚Äù dataset. If left empty, Kay will retrieve the most relevant context
Data API built for RAG üïµÔ∏è We are curating the world's largest datasets as high-quality embeddings so your AI agents can retrieve context on the fly. Latest models, fast retrieval, and zero infra.
Data API built for RAG üïµÔ∏è We are curating the world's largest datasets as high-quality embeddings so your AI agents can retrieve context on the fly. Latest models, fast retrieval, and zero infra. ->: Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversAmazon KendraArcee RetrieverArxivAzure Cognitive SearchBM25ChaindeskChatGPT PluginCohere RerankerDocArrayElasticSearch BM25Google Cloud Enterprise SearchGoogle DriveGoogle Vertex AI SearchKay.aikNNLOTR (Merger Retriever)MetalPinecone Hybrid SearchPubMedRePhraseQuerySEC filingSelf-querying retrieverSVMTavily Search APITF-IDFVespaWeaviate Hybrid SearchWikipediayou-retrieverZepToolsAgents and toolkitsMemoryCallbacksChat loadersComponentsRetrieversKay.aiOn this pageKay.aiData API built for RAG üïµÔ∏è We are curating the world's largest datasets as high-quality embeddings so your AI agents can retrieve context on the fly. Latest models, fast retrieval, and zero infra.This notebook shows you how to retrieve datasets supported by Kay. You can currently search SEC Filings and Press Releases of US companies. Visit kay.ai for the latest data drops. For any questions, join our discord or tweet at usInstallationFirst you will need to install the kay package. You will also need an API key: you can get one for free at https://kay.ai. Once you have an API key, you must set it as an environment variable KAY_API_KEY.KayAiRetriever has a static .create() factory method that takes the following arguments:dataset_id: string required -- A Kay dataset id. This is a collection of data about a particular entity such as companies, people, or places. For example, try "company" data_type: List[string] optional -- This is a category within a  dataset based on its origin or format, such as ‚ÄòSEC Filings‚Äô, ‚ÄòPress Releases‚Äô, or ‚ÄòReports‚Äô within the ‚Äúcompany‚Äù dataset. For example, try ["10-K", "10-Q", "PressRelease"] under the ‚Äúcompany‚Äù dataset. If left empty, Kay will retrieve the most relevant context