{
    "description": "Tool agent that can retrieve answers from multiple sources using relevant Retriever Tools",
    "badge": "POPULAR",
    "usecases": ["Documents QnA"],
    "framework": ["Langchain"],
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                "category": "Vector Stores",
                "description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
                "inputParams": [
                    {
                        "label": "Connect Credential",
                        "name": "credential",
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                    {
                        "label": "Pinecone Index",
                        "name": "pineconeIndex",
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                        "id": "pinecone_0-input-pineconeIndex-string"
                    },
                    {
                        "label": "Pinecone Namespace",
                        "name": "pineconeNamespace",
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                        "placeholder": "my-first-namespace",
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                        "label": "Pinecone Metadata Filter",
                        "name": "pineconeMetadataFilter",
                        "type": "json",
                        "optional": true,
                        "additionalParams": true,
                        "id": "pinecone_0-input-pineconeMetadataFilter-json"
                    },
                    {
                        "label": "Top K",
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                        "description": "Number of top results to fetch. Default to 4",
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                        "additionalParams": true,
                        "optional": true,
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                    {
                        "label": "Search Type",
                        "name": "searchType",
                        "type": "options",
                        "default": "similarity",
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                            {
                                "label": "Similarity",
                                "name": "similarity"
                            },
                            {
                                "label": "Max Marginal Relevance",
                                "name": "mmr"
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                        ],
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                    {
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                        "additionalParams": true,
                        "optional": true,
                        "id": "pinecone_0-input-fetchK-number"
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                        "additionalParams": true,
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                        "id": "pinecone_0-input-lambda-number"
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                ],
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                        "name": "document",
                        "type": "Document",
                        "list": true,
                        "optional": true,
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                    },
                    {
                        "label": "Embeddings",
                        "name": "embeddings",
                        "type": "Embeddings",
                        "id": "pinecone_0-input-embeddings-Embeddings"
                    },
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                        "label": "Record Manager",
                        "name": "recordManager",
                        "type": "RecordManager",
                        "description": "Keep track of the record to prevent duplication",
                        "optional": true,
                        "id": "pinecone_0-input-recordManager-RecordManager"
                    }
                ],
                "inputs": {
                    "document": "",
                    "embeddings": "{{openAIEmbeddings_0.data.instance}}",
                    "recordManager": "",
                    "pineconeIndex": "newindex",
                    "pineconeNamespace": "pinecone-form10k",
                    "pineconeMetadataFilter": "{\"source\":\"apple\"}",
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                    "lambda": ""
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                                "id": "pinecone_0-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
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                                "label": "Pinecone Retriever",
                                "description": "",
                                "type": "Pinecone | VectorStoreRetriever | BaseRetriever"
                            },
                            {
                                "id": "pinecone_0-output-vectorStore-Pinecone|VectorStore",
                                "name": "vectorStore",
                                "label": "Pinecone Vector Store",
                                "description": "",
                                "type": "Pinecone | VectorStore"
                            }
                        ],
                        "default": "retriever"
                    }
                ],
                "outputs": {
                    "output": "retriever"
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                "selected": false
            },
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            "positionAbsolute": {
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            "width": 300,
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                "baseClasses": ["OpenAIEmbeddings", "Embeddings"],
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                "description": "OpenAI API to generate embeddings for a given text",
                "inputParams": [
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                        "type": "credential",
                        "credentialNames": ["openAIApi"],
                        "id": "openAIEmbeddings_0-input-credential-credential"
                    },
                    {
                        "label": "Model Name",
                        "name": "modelName",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "default": "text-embedding-ada-002",
                        "id": "openAIEmbeddings_0-input-modelName-asyncOptions"
                    },
                    {
                        "label": "Strip New Lines",
                        "name": "stripNewLines",
                        "type": "boolean",
                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_0-input-stripNewLines-boolean"
                    },
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                        "label": "Batch Size",
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                        "type": "number",
                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_0-input-batchSize-number"
                    },
                    {
                        "label": "Timeout",
                        "name": "timeout",
                        "type": "number",
                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_0-input-timeout-number"
                    },
                    {
                        "label": "BasePath",
                        "name": "basepath",
                        "type": "string",
                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_0-input-basepath-string"
                    },
                    {
                        "label": "Dimensions",
                        "name": "dimensions",
                        "type": "number",
                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_0-input-dimensions-number"
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                ],
                "inputAnchors": [],
                "inputs": {
                    "modelName": "text-embedding-ada-002",
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                    "batchSize": "",
                    "timeout": "",
                    "basepath": "",
                    "dimensions": ""
                },
                "outputAnchors": [
                    {
                        "id": "openAIEmbeddings_0-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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                        "label": "OpenAIEmbeddings",
                        "description": "OpenAI API to generate embeddings for a given text",
                        "type": "OpenAIEmbeddings | Embeddings"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "selected": false,
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                "type": "Pinecone",
                "baseClasses": ["Pinecone", "VectorStoreRetriever", "BaseRetriever"],
                "category": "Vector Stores",
                "description": "Upsert embedded data and perform similarity or mmr search using Pinecone, a leading fully managed hosted vector database",
                "inputParams": [
                    {
                        "label": "Connect Credential",
                        "name": "credential",
                        "type": "credential",
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                    },
                    {
                        "label": "Pinecone Index",
                        "name": "pineconeIndex",
                        "type": "string",
                        "id": "pinecone_1-input-pineconeIndex-string"
                    },
                    {
                        "label": "Pinecone Namespace",
                        "name": "pineconeNamespace",
                        "type": "string",
                        "placeholder": "my-first-namespace",
                        "additionalParams": true,
                        "optional": true,
                        "id": "pinecone_1-input-pineconeNamespace-string"
                    },
                    {
                        "label": "Pinecone Metadata Filter",
                        "name": "pineconeMetadataFilter",
                        "type": "json",
                        "optional": true,
                        "additionalParams": true,
                        "id": "pinecone_1-input-pineconeMetadataFilter-json"
                    },
                    {
                        "label": "Top K",
                        "name": "topK",
                        "description": "Number of top results to fetch. Default to 4",
                        "placeholder": "4",
                        "type": "number",
                        "additionalParams": true,
                        "optional": true,
                        "id": "pinecone_1-input-topK-number"
                    },
                    {
                        "label": "Search Type",
                        "name": "searchType",
                        "type": "options",
                        "default": "similarity",
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                            {
                                "label": "Similarity",
                                "name": "similarity"
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                            {
                                "label": "Max Marginal Relevance",
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                        ],
                        "additionalParams": true,
                        "optional": true,
                        "id": "pinecone_1-input-searchType-options"
                    },
                    {
                        "label": "Fetch K (for MMR Search)",
                        "name": "fetchK",
                        "description": "Number of initial documents to fetch for MMR reranking. Default to 20. Used only when the search type is MMR",
                        "placeholder": "20",
                        "type": "number",
                        "additionalParams": true,
                        "optional": true,
                        "id": "pinecone_1-input-fetchK-number"
                    },
                    {
                        "label": "Lambda (for MMR Search)",
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                        "description": "Number between 0 and 1 that determines the degree of diversity among the results, where 0 corresponds to maximum diversity and 1 to minimum diversity. Used only when the search type is MMR",
                        "placeholder": "0.5",
                        "type": "number",
                        "additionalParams": true,
                        "optional": true,
                        "id": "pinecone_1-input-lambda-number"
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                ],
                "inputAnchors": [
                    {
                        "label": "Document",
                        "name": "document",
                        "type": "Document",
                        "list": true,
                        "optional": true,
                        "id": "pinecone_1-input-document-Document"
                    },
                    {
                        "label": "Embeddings",
                        "name": "embeddings",
                        "type": "Embeddings",
                        "id": "pinecone_1-input-embeddings-Embeddings"
                    },
                    {
                        "label": "Record Manager",
                        "name": "recordManager",
                        "type": "RecordManager",
                        "description": "Keep track of the record to prevent duplication",
                        "optional": true,
                        "id": "pinecone_1-input-recordManager-RecordManager"
                    }
                ],
                "inputs": {
                    "document": "",
                    "embeddings": "{{openAIEmbeddings_1.data.instance}}",
                    "recordManager": "",
                    "pineconeIndex": "newindex",
                    "pineconeNamespace": "pinecone-form10k-2",
                    "pineconeMetadataFilter": "{\"source\":\"tesla\"}",
                    "topK": "",
                    "searchType": "similarity",
                    "fetchK": "",
                    "lambda": ""
                },
                "outputAnchors": [
                    {
                        "name": "output",
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                                "id": "pinecone_1-output-retriever-Pinecone|VectorStoreRetriever|BaseRetriever",
                                "name": "retriever",
                                "label": "Pinecone Retriever",
                                "description": "",
                                "type": "Pinecone | VectorStoreRetriever | BaseRetriever"
                            },
                            {
                                "id": "pinecone_1-output-vectorStore-Pinecone|VectorStore",
                                "name": "vectorStore",
                                "label": "Pinecone Vector Store",
                                "description": "",
                                "type": "Pinecone | VectorStore"
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                        ],
                        "default": "retriever"
                    }
                ],
                "outputs": {
                    "output": "retriever"
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                "selected": false
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                "type": "OpenAIEmbeddings",
                "baseClasses": ["OpenAIEmbeddings", "Embeddings"],
                "category": "Embeddings",
                "description": "OpenAI API to generate embeddings for a given text",
                "inputParams": [
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                        "label": "Connect Credential",
                        "name": "credential",
                        "type": "credential",
                        "credentialNames": ["openAIApi"],
                        "id": "openAIEmbeddings_1-input-credential-credential"
                    },
                    {
                        "label": "Model Name",
                        "name": "modelName",
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                        "loadMethod": "listModels",
                        "default": "text-embedding-ada-002",
                        "id": "openAIEmbeddings_1-input-modelName-asyncOptions"
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                        "name": "stripNewLines",
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                        "id": "openAIEmbeddings_1-input-stripNewLines-boolean"
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                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_1-input-batchSize-number"
                    },
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                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_1-input-timeout-number"
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                    {
                        "label": "BasePath",
                        "name": "basepath",
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                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_1-input-basepath-string"
                    },
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                        "label": "Dimensions",
                        "name": "dimensions",
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                        "optional": true,
                        "additionalParams": true,
                        "id": "openAIEmbeddings_1-input-dimensions-number"
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                ],
                "inputAnchors": [],
                "inputs": {
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                    "timeout": "",
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                },
                "outputAnchors": [
                    {
                        "id": "openAIEmbeddings_1-output-openAIEmbeddings-OpenAIEmbeddings|Embeddings",
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                        "label": "OpenAIEmbeddings",
                        "description": "OpenAI API to generate embeddings for a given text",
                        "type": "OpenAIEmbeddings | Embeddings"
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                ],
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        },
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            "type": "customNode",
            "data": {
                "id": "bufferMemory_0",
                "label": "Buffer Memory",
                "version": 2,
                "name": "bufferMemory",
                "type": "BufferMemory",
                "baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
                "category": "Memory",
                "description": "Retrieve chat messages stored in database",
                "inputParams": [
                    {
                        "label": "Session Id",
                        "name": "sessionId",
                        "type": "string",
                        "description": "If not specified, a random id will be used. Learn <a target=\"_blank\" href=\"https://docs.flowiseai.com/memory#ui-and-embedded-chat\">more</a>",
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                        "optional": true,
                        "id": "bufferMemory_0-input-sessionId-string"
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                    {
                        "label": "Memory Key",
                        "name": "memoryKey",
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                        "default": "chat_history",
                        "additionalParams": true,
                        "id": "bufferMemory_0-input-memoryKey-string"
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                ],
                "inputAnchors": [],
                "inputs": {
                    "sessionId": "",
                    "memoryKey": "chat_history"
                },
                "outputAnchors": [
                    {
                        "id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
                        "name": "bufferMemory",
                        "label": "BufferMemory",
                        "description": "Retrieve chat messages stored in database",
                        "type": "BufferMemory | BaseChatMemory | BaseMemory"
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                ],
                "outputs": {},
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            },
            "selected": false,
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        },
        {
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            "type": "customNode",
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                "id": "retrieverTool_2",
                "label": "Retriever Tool",
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                "type": "RetrieverTool",
                "baseClasses": ["RetrieverTool", "DynamicTool", "Tool", "StructuredTool", "Runnable"],
                "category": "Tools",
                "description": "Use a retriever as allowed tool for agent",
                "inputParams": [
                    {
                        "label": "Retriever Name",
                        "name": "name",
                        "type": "string",
                        "placeholder": "search_state_of_union",
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                    },
                    {
                        "label": "Retriever Description",
                        "name": "description",
                        "type": "string",
                        "description": "When should agent uses to retrieve documents",
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                        "id": "retrieverTool_2-input-description-string"
                    },
                    {
                        "label": "Return Source Documents",
                        "name": "returnSourceDocuments",
                        "type": "boolean",
                        "optional": true,
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                ],
                "inputAnchors": [
                    {
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                        "type": "BaseRetriever",
                        "id": "retrieverTool_2-input-retriever-BaseRetriever"
                    }
                ],
                "inputs": {
                    "name": "search_apple",
                    "description": "Use this function to answer user questions about Apple Inc (APPL). It contains a SEC Form 10K filing describing the financials of Apple Inc (APPL) for the 2022 time period.",
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                    "returnSourceDocuments": true
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                "outputAnchors": [
                    {
                        "id": "retrieverTool_2-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
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                        "label": "RetrieverTool",
                        "type": "RetrieverTool | DynamicTool | Tool | StructuredTool | Runnable"
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        {
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                    {
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                        "placeholder": "search_state_of_union",
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                    },
                    {
                        "label": "Retriever Description",
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                        "description": "When should agent uses to retrieve documents",
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                        "placeholder": "Searches and returns documents regarding the state-of-the-union.",
                        "id": "retrieverTool_1-input-description-string"
                    },
                    {
                        "label": "Return Source Documents",
                        "name": "returnSourceDocuments",
                        "type": "boolean",
                        "optional": true,
                        "id": "retrieverTool_1-input-returnSourceDocuments-boolean"
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                ],
                "inputAnchors": [
                    {
                        "label": "Retriever",
                        "name": "retriever",
                        "type": "BaseRetriever",
                        "id": "retrieverTool_1-input-retriever-BaseRetriever"
                    }
                ],
                "inputs": {
                    "name": "search_tsla",
                    "description": "Use this function to answer user questions about Tesla Inc (TSLA). It contains a SEC Form 10K filing describing the financials of Tesla Inc (TSLA) for the 2022 time period.",
                    "retriever": "{{pinecone_1.data.instance}}",
                    "returnSourceDocuments": true
                },
                "outputAnchors": [
                    {
                        "id": "retrieverTool_1-output-retrieverTool-RetrieverTool|DynamicTool|Tool|StructuredTool|Runnable",
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        {
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            "type": "customNode",
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                "id": "chatOpenAI_0",
                "label": "ChatOpenAI",
                "version": 6,
                "name": "chatOpenAI",
                "type": "ChatOpenAI",
                "baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
                "category": "Chat Models",
                "description": "Wrapper around OpenAI large language models that use the Chat endpoint",
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                        "label": "Connect Credential",
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