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 loadersComponentsRetrieversArcee RetrieverOn this pageArcee RetrieverThis notebook demonstrates how to use the ArceeRetriever class to retrieve relevant document(s) for Arcee's Domain Adapted Language Models (DALMs).Setup‚ÄãBefore using ArceeRetriever, make sure the Arcee API key is set as ARCEE_API_KEY environment variable. You can also pass the api key as a named parameter.from langchain.retrievers import ArceeRetrieverretriever = ArceeRetriever(    model="DALM-PubMed",    # arcee_api_key="ARCEE-API-KEY" # if not already set in the environment)Additional Configuration‚ÄãYou can also configure ArceeRetriever's parameters such as arcee_api_url, arcee_app_url, and model_kwargs as needed.
This notebook demonstrates how to use the ArceeRetriever class to retrieve relevant document(s) for Arcee's Domain Adapted Language Models (DALMs).
This notebook demonstrates how to use the ArceeRetriever class to retrieve relevant document(s) for Arcee's Domain Adapted Language Models (DALMs). ->: 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 loadersComponentsRetrieversArcee RetrieverOn this pageArcee RetrieverThis notebook demonstrates how to use the ArceeRetriever class to retrieve relevant document(s) for Arcee's Domain Adapted Language Models (DALMs).Setup‚ÄãBefore using ArceeRetriever, make sure the Arcee API key is set as ARCEE_API_KEY environment variable. You can also pass the api key as a named parameter.from langchain.retrievers import ArceeRetrieverretriever = ArceeRetriever(    model="DALM-PubMed",    # arcee_api_key="ARCEE-API-KEY" # if not already set in the environment)Additional Configuration‚ÄãYou can also configure ArceeRetriever's parameters such as arcee_api_url, arcee_app_url, and model_kwargs as needed.