Workflow: Stopanderror Telegram Automation

Workflow Details

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{
    "id": "5Ycrm1MuK8htwd96",
    "meta": {
        "instanceId": "e5595d8cd58f3a24b5a8cf05dd852846c05423873db868a2b7d01a778210c45a",
        "templateCredsSetupCompleted": true
    },
    "name": "Telegram RAG pdf",
    "tags": [],
    "nodes": [
        {
            "id": "9fbce801-8c42-43a4-bc70-d93042d68b2c",
            "name": "Telegram Trigger",
            "type": "n8n-nodes-base.telegramTrigger",
            "position": [
                -220,
                240
            ],
            "webhookId": "b178f034-9997-4832-9bb4-a43c3015506e",
            "parameters": {
                "updates": [
                    "message"
                ],
                "additionalFields": []
            },
            "credentials": {
                "telegramApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1.100000000000000088817841970012523233890533447265625
        },
        {
            "id": "1bfc1fbd-86b1-4a8a-9301-fe54497f5acd",
            "name": "Embeddings OpenAI",
            "type": "@n8n\/n8n-nodes-langchain.embeddingsOpenAi",
            "position": [
                720,
                460
            ],
            "parameters": {
                "options": []
            },
            "credentials": {
                "openAiApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1
        },
        {
            "id": "d5ad7851-ed40-4b3a-b0d5-aeaf04362f1c",
            "name": "Default Data Loader",
            "type": "@n8n\/n8n-nodes-langchain.documentDefaultDataLoader",
            "position": [
                860,
                460
            ],
            "parameters": {
                "options": [],
                "dataType": "binary"
            },
            "typeVersion": 1
        },
        {
            "id": "fed803d0-49a2-4b82-8f20-a02a10caa027",
            "name": "Recursive Character Text Splitter",
            "type": "@n8n\/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
            "position": [
                940,
                680
            ],
            "parameters": {
                "options": [],
                "chunkSize": 3000,
                "chunkOverlap": 200
            },
            "typeVersion": 1
        },
        {
            "id": "ab60f36f-fada-4812-8dbd-441ad372cb80",
            "name": "Stop and Error",
            "type": "n8n-nodes-base.stopAndError",
            "position": [
                220,
                840
            ],
            "parameters": {
                "errorMessage": "An error occurred"
            },
            "typeVersion": 1
        },
        {
            "id": "c87f1db3-7cc9-4063-9895-4b4d68ea53a1",
            "name": "Question and Answer Chain",
            "type": "@n8n\/n8n-nodes-langchain.chainRetrievalQa",
            "position": [
                -280,
                500
            ],
            "parameters": {
                "text": "={{ $json.message.text }}\nSearch the database with the retriever for information for the answer",
                "promptType": "define"
            },
            "typeVersion": 1.3000000000000000444089209850062616169452667236328125
        },
        {
            "id": "c9bc4c80-8e57-48bc-a405-131ed7348c1d",
            "name": "Vector Store Retriever",
            "type": "@n8n\/n8n-nodes-langchain.retrieverVectorStore",
            "position": [
                -240,
                680
            ],
            "parameters": [],
            "typeVersion": 1
        },
        {
            "id": "0217056f-2b71-4308-adf1-19dcd4d2cc11",
            "name": "Pinecone Vector Store1",
            "type": "@n8n\/n8n-nodes-langchain.vectorStorePinecone",
            "position": [
                -280,
                860
            ],
            "parameters": {
                "options": [],
                "pineconeIndex": {
                    "__rl": true,
                    "mode": "list",
                    "value": "telegram",
                    "cachedResultName": "telegram"
                }
            },
            "credentials": {
                "pineconeApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1
        },
        {
            "id": "693f9026-f47f-48dc-8e5d-e8b832a37235",
            "name": "Groq Chat Model",
            "type": "@n8n\/n8n-nodes-langchain.lmChatGroq",
            "position": [
                -380,
                660
            ],
            "parameters": {
                "model": "llama-3.1-70b-versatile",
                "options": []
            },
            "credentials": {
                "groqApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1
        },
        {
            "id": "c7acf014-138f-4be7-b569-c309bb10e50d",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                500,
                73.04879287725316316937096416950225830078125
            ],
            "parameters": {
                "color": 7,
                "width": 1139.515969291500141480355523526668548583984375,
                "height": 873.6068151028410966318915598094463348388671875,
                "content": "# Load data into database\nFetch file from **Telegram**, split it into chunks and insert into **Pinecone** index, a message from **Telegram** will be sent just to let the user know that the process finished"
            },
            "typeVersion": 1
        },
        {
            "id": "dd3b9d8b-5771-4a09-8c1b-794cb8737d5d",
            "name": "Sticky Note1",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                -878.769000000000005456968210637569427490234375,
                400
            ],
            "parameters": {
                "color": 7,
                "width": 1344.7918019808175813523121178150177001953125,
                "height": 806.871616732401207627844996750354766845703125,
                "content": "# Chat with Database\n\n1. **Receive** the incoming chat message.\n2. **Retrieve** relevant chunks from the _vector store_.\n3. **Pass** these chunks to the model.\n\nThe model will use the retrieved information to **formulate a precise response**.\n"
            },
            "typeVersion": 1
        },
        {
            "id": "9aaf575a-5e40-407c-951c-10b1d16e5d3c",
            "name": "Check If is a document",
            "type": "n8n-nodes-base.if",
            "position": [
                220,
                240
            ],
            "parameters": {
                "options": [],
                "conditions": {
                    "options": {
                        "leftValue": "",
                        "caseSensitive": true,
                        "typeValidation": "strict"
                    },
                    "combinator": "and",
                    "conditions": [
                        {
                            "id": "8839993b-9fe7-4e1e-a1cc-fe5de6b0bb62",
                            "operator": {
                                "type": "object",
                                "operation": "exists",
                                "singleValue": true
                            },
                            "leftValue": "={{ $json.message.document }}",
                            "rightValue": ""
                        }
                    ]
                }
            },
            "typeVersion": 2
        },
        {
            "id": "c1edb6bf-ba95-4a5f-9626-add673274086",
            "name": "Change to application\/pdf",
            "type": "n8n-nodes-base.code",
            "position": [
                700,
                220
            ],
            "parameters": {
                "jsCode": "\/\/ Fun\u00e7\u00e3o para modificar os metadados do arquivo bin\u00e1rio\nfunction modifyBinaryMetadata(items) {\n for (const item of items) {\n if (item.binary && item.binary.data) {\n \/\/ Modifica o tipo MIME\n item.binary.data.mimeType = 'application\/pdf';\n \n \/\/ Garante que o nome do arquivo termine com .pdf\n if (!item.binary.data.fileName.toLowerCase().endsWith('.pdf')) {\n item.binary.data.fileName += '.pdf';\n }\n \n \/\/ Atualiza o contentType no fileType (se existir)\n if (item.binary.data.fileType) {\n item.binary.data.fileType.contentType = 'application\/pdf';\n }\n }\n }\n return items;\n}\n\n\/\/ Aplica a modifica\u00e7\u00e3o e retorna os itens atualizados\nreturn modifyBinaryMetadata($input.all());"
            },
            "typeVersion": 2
        },
        {
            "id": "ea4d4e74-8954-47f0-a3a0-662d47ea2298",
            "name": "Telegram get File",
            "type": "n8n-nodes-base.telegram",
            "position": [
                520,
                220
            ],
            "parameters": {
                "fileId": "={{ $json.message.document.file_id }}",
                "resource": "file"
            },
            "credentials": {
                "telegramApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1.1999999999999999555910790149937383830547332763671875
        },
        {
            "id": "cf548bee-d5d5-4f1a-a059-932ea163e155",
            "name": "Embeddings",
            "type": "@n8n\/n8n-nodes-langchain.embeddingsOpenAi",
            "position": [
                -100,
                1080
            ],
            "parameters": {
                "options": []
            },
            "credentials": {
                "openAiApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1
        },
        {
            "id": "e3bd4759-80cc-42bb-ba53-f9e88e9ba916",
            "name": "Telegram Response",
            "type": "n8n-nodes-base.telegram",
            "onError": "continueErrorOutput",
            "position": [
                160,
                560
            ],
            "parameters": {
                "text": "={{ $json.response.text }}",
                "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
                "additionalFields": {
                    "appendAttribution": false
                }
            },
            "credentials": {
                "telegramApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1.1999999999999999555910790149937383830547332763671875
        },
        {
            "id": "e478df48-9e6d-4a84-89be-beb569914ae3",
            "name": "Telegram Response about Database",
            "type": "n8n-nodes-base.telegram",
            "onError": "continueErrorOutput",
            "position": [
                1400,
                220
            ],
            "parameters": {
                "text": "={{ $json.metadata.pdf.totalPages }} pages saved on Pinecone",
                "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
                "additionalFields": {
                    "appendAttribution": false
                }
            },
            "credentials": {
                "telegramApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1.1999999999999999555910790149937383830547332763671875
        },
        {
            "id": "5be7a321-1be6-4173-83de-3d569666718d",
            "name": "Stop and Error1",
            "type": "n8n-nodes-base.stopAndError",
            "position": [
                1400,
                580
            ],
            "parameters": {
                "errorMessage": "An error occurred."
            },
            "typeVersion": 1
        },
        {
            "id": "aae26861-f34d-4b59-bd99-3662fbd6676c",
            "name": "Pinecone Vector Store",
            "type": "@n8n\/n8n-nodes-langchain.vectorStorePinecone",
            "position": [
                880,
                220
            ],
            "parameters": {
                "mode": "insert",
                "options": [],
                "pineconeIndex": {
                    "__rl": true,
                    "mode": "list",
                    "value": "telegram",
                    "cachedResultName": "telegram"
                }
            },
            "credentials": {
                "pineconeApi": {
                    "id": "",
                    "name": ""
                }
            },
            "typeVersion": 1
        },
        {
            "id": "312fb807-4225-4630-ab32-aa12fe07c127",
            "name": "Limit to 1",
            "type": "n8n-nodes-base.limit",
            "position": [
                1220,
                220
            ],
            "parameters": [],
            "typeVersion": 1
        }
    ],
    "active": true,
    "pinData": [],
    "settings": {
        "timezone": "America\/Sao_Paulo",
        "callerPolicy": "workflowsFromSameOwner",
        "executionOrder": "v1",
        "saveManualExecutions": true
    },
    "versionId": "03612d23-6630-4ec6-8738-1dae593c8d23",
    "connections": {
        "Embeddings": {
            "ai_embedding": [
                [
                    {
                        "node": "Pinecone Vector Store1",
                        "type": "ai_embedding",
                        "index": 0
                    }
                ]
            ]
        },
        "Limit to 1": {
            "main": [
                [
                    {
                        "node": "Telegram Response about Database",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Groq Chat Model": {
            "ai_languageModel": [
                [
                    {
                        "node": "Question and Answer Chain",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        },
        "Telegram Trigger": {
            "main": [
                [
                    {
                        "node": "Check If is a document",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Embeddings OpenAI": {
            "ai_embedding": [
                [
                    {
                        "node": "Pinecone Vector Store",
                        "type": "ai_embedding",
                        "index": 0
                    }
                ]
            ]
        },
        "Telegram Response": {
            "main": [
                [],
                [
                    {
                        "node": "Stop and Error",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Telegram get File": {
            "main": [
                [
                    {
                        "node": "Change to application\/pdf",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Default Data Loader": {
            "ai_document": [
                [
                    {
                        "node": "Pinecone Vector Store",
                        "type": "ai_document",
                        "index": 0
                    }
                ]
            ]
        },
        "Pinecone Vector Store": {
            "main": [
                [
                    {
                        "node": "Limit to 1",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Check If is a document": {
            "main": [
                [
                    {
                        "node": "Telegram get File",
                        "type": "main",
                        "index": 0
                    }
                ],
                [
                    {
                        "node": "Question and Answer Chain",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Pinecone Vector Store1": {
            "ai_vectorStore": [
                [
                    {
                        "node": "Vector Store Retriever",
                        "type": "ai_vectorStore",
                        "index": 0
                    }
                ]
            ]
        },
        "Vector Store Retriever": {
            "ai_retriever": [
                [
                    {
                        "node": "Question and Answer Chain",
                        "type": "ai_retriever",
                        "index": 0
                    }
                ]
            ]
        },
        "Change to application\/pdf": {
            "main": [
                [
                    {
                        "node": "Pinecone Vector Store",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Question and Answer Chain": {
            "main": [
                [
                    {
                        "node": "Telegram Response",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Telegram Response about Database": {
            "main": [
                [],
                [
                    {
                        "node": "Stop and Error1",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Recursive Character Text Splitter": {
            "ai_textSplitter": [
                [
                    {
                        "node": "Default Data Loader",
                        "type": "ai_textSplitter",
                        "index": 0
                    }
                ]
            ]
        }
    }
}
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