RAG Chatbot Main

The workflow JSON

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{
  "name": "RAG CHATBOT Main",
  "nodes": [
    {
      "parameters": {
        "rules": {
          "values": [
            {
              "conditions": {
                "options": {
                  "caseSensitive": true,
                  "leftValue": "",
                  "typeValidation": "strict",
                  "version": 2
                },
                "conditions": [
                  {
                    "leftValue": "={{ $json.type }}",
                    "rightValue": "video",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    },
                    "id": "ee97bdcd-85e9-4a53-9e77-74ff9d8811cd"
                  }
                ],
                "combinator": "and"
              }
            },
            {
              "conditions": {
                "options": {
                  "caseSensitive": true,
                  "leftValue": "",
                  "typeValidation": "strict",
                  "version": 2
                },
                "conditions": [
                  {
                    "id": "57cddf6d-0a6a-43d2-b8a8-d79ee18948cc",
                    "leftValue": "={{ $json.type }}",
                    "rightValue": "web",
                    "operator": {
                      "type": "string",
                      "operation": "equals"
                    }
                  }
                ],
                "combinator": "and"
              }
            },
            {
              "conditions": {
                "options": {
                  "caseSensitive": true,
                  "leftValue": "",
                  "typeValidation": "strict",
                  "version": 2
                },
                "conditions": [
                  {
                    "id": "72df165a-aac1-4b28-a212-d4f0b4e287d6",
                    "leftValue": "={{ $json.type }}",
                    "rightValue": "file",
                    "operator": {
                      "type": "string",
                      "operation": "equals",
                      "name": "filter.operator.equals"
                    }
                  }
                ],
                "combinator": "and"
              }
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.switch",
      "typeVersion": 3.2,
      "position": [
        1780,
        -140
      ],
      "id": "b9750e31-4775-498c-865a-2e21f5049980",
      "name": "Switch"
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "66c450c0-67d3-43b5-af09-58d197191a99",
              "leftValue": "={{ $('Telegram Trigger').item.json.message.document.file_name }}",
              "rightValue": "",
              "operator": {
                "type": "string",
                "operation": "exists",
                "singleValue": true
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        960,
        -80
      ],
      "id": "932dca78-1f92-41c0-9bf3-b13bcec39696",
      "name": "file?"
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "dba766ff-d7e2-4b0c-bcb5-5433a1cb9042",
              "leftValue": "={{ $('Telegram Trigger').item.json.message.document.mime_type }}",
              "rightValue": "^(text/plain|application/pdf|application/vnd\\.openxmlformats-officedocument\\.wordprocessingml\\.document)$",
              "operator": {
                "type": "string",
                "operation": "notRegex"
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        1100,
        -280
      ],
      "id": "c5d1005d-e68e-4182-ba67-862807f32265",
      "name": "Format ok?"
    },
    {
      "parameters": {
        "chatId": "={{ $('Telegram Trigger').item.json.message.from.id }}",
        "text": "\u041f\u0440\u0438\u0448\u043b\u0438\u0442\u0435 \u0444\u0430\u0439\u043b\u044b \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0430\u0445 txt, docx, pdf.",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        1340,
        -280
      ],
      "id": "619c90b1-af63-4418-89c3-1d03810b4417",
      "name": "Format Error",
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "resource": "file",
        "fileId": "={{ $json.file_id }}"
      },
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        2280,
        480
      ],
      "id": "79f69f51-9384-43fc-825e-a9490674ee79",
      "name": "File",
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "updates": [
          "message",
          "callback_query"
        ],
        "additionalFields": {}
      },
      "type": "n8n-nodes-base.telegramTrigger",
      "typeVersion": 1.2,
      "position": [
        -580,
        520
      ],
      "id": "9232fbfd-e214-407e-9b17-9be50cf2b179",
      "name": "Telegram Trigger",
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        2300,
        -1080
      ],
      "id": "ce999632-a114-4397-8334-9a151bdf252b",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "descriptionType": "manual",
        "toolDescription": "Use MCP client for video transcription",
        "operation": "executeTool",
        "toolName": "={{ $fromAI(\"tool\", \"the tool selected\") }}",
        "toolParameters": "={\n          \"videoUrl\": \"{{ $fromAI('url', 'URL of the page to transcribe') }}\"\n        }"
      },
      "type": "n8n-nodes-mcp.mcpClientTool",
      "typeVersion": 1,
      "position": [
        2600,
        -1080
      ],
      "id": "ad11b3a5-d7a8-44d6-94b0-bccd9227538f",
      "name": "Transcribe",
      "credentials": {
        "mcpClientApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "options": {
          "systemMessage": "You are an AI agent integrated into n8n for YouTube video transcription.\n\n**Task:**\n1.  **Process Links:**\n    * When you receive one or more YouTube video links, process them **sequentially**, one after the other.\n    * For each link, use the `executetool` tool.\n    * When calling `executetool`, you **must** use the following JSON structure to specify the tool and its parameters, substituting the actual link into the `videoUrl` field:\n      ```json\n      {\n        \"tool\": \"get-youtube-transcript\",\n        \"Tool_Parameters\": {\n          \"videoUrl\": \"INSERT_VIDEO_LINK_HERE\"\n        }\n      }\n      ```\n2.  **Format Response:**\n    * Collect the result from the `executetool` execution (i.e., the output of the `get-youtube-transcript` tool) for each processed link.\n    * In the final response, for each link, include the **standard success message and result** (including the transcription text) that is typically generated after using the `get-youtube-transcript` tool.\n    * Present these standard outputs for each link sequentially within one message, ensuring they are clearly separated (e.g., by a blank line).\n}"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.8,
      "position": [
        2360,
        -1220
      ],
      "id": "5215625f-44a5-45f9-860b-2821f3b560f4",
      "name": "Paid transcription"
    },
    {
      "parameters": {
        "content": "## VIDEO TRANSCRIPT (PAID, API DUMPLINGAI)\n",
        "height": 360,
        "width": 520,
        "color": 4
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        2240,
        -1300
      ],
      "id": "33598b24-6a86-46b3-a2fc-5e8826d5b46f",
      "name": "Sticky Note"
    },
    {
      "parameters": {
        "executeOnce": false,
        "command": "=yt-dlp --cookies \"/home/node/cookies.txt\" -x --audio-format mp3 -o \"{{$json.dynamicAudioPath}}\" '{{ $json.url }}'\n\n"
      },
      "type": "n8n-nodes-base.executeCommand",
      "typeVersion": 1,
      "position": [
        2440,
        -600
      ],
      "id": "237012f8-3399-45fa-b74c-c40380f879dc",
      "name": "Audio extract",
      "executeOnce": false
    },
    {
      "parameters": {
        "fileSelector": "={{ $('Set Names').item.json.dynamicAudioPath }}",
        "options": {}
      },
      "type": "n8n-nodes-base.readWriteFile",
      "typeVersion": 1,
      "position": [
        2660,
        -600
      ],
      "id": "81b0060b-2880-4290-b369-284f2b043f81",
      "name": "Upload binary",
      "executeOnce": false
    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "9a5bb0d7-223c-48a4-b12e-8fd86657a43d",
              "name": "video_id",
              "value": "={{$json.idx_in_batch}}",
              "type": "string"
            },
            {
              "id": "0b22482a-49f1-46e3-833b-d3230ceeebc7",
              "name": "dynamicAudioPath",
              "value": "={{`/home/node/temp_audio/${$execution.id}_${$itemIndex}.mp3`}}",
              "type": "string"
            }
          ]
        },
        "includeOtherFields": true,
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        2220,
        -600
      ],
      "id": "39f663d0-c735-48bd-a1b0-056321a4c130",
      "name": "Set Names"
    },
    {
      "parameters": {
        "content": "## VIDEO TRANSCRIPT (FREE, LOCAL)\n",
        "height": 380,
        "width": 1440,
        "color": 7
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        2040,
        -820
      ],
      "id": "a42a0764-b3c5-4f99-ad01-1aea5fad07f9",
      "name": "Sticky Note1"
    },
    {
      "parameters": {
        "method": "POST",
        "url": "http://whisper-asr:9000/asr?output=srt",
        "sendBody": true,
        "contentType": "multipart-form-data",
        "bodyParameters": {
          "parameters": [
            {
              "parameterType": "formBinaryData",
              "name": "audio_file",
              "inputDataFieldName": "data"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        2860,
        -600
      ],
      "id": "6f8e7897-ca10-4b9d-9de0-30aaba143232",
      "name": "Whisper Transcribe",
      "executeOnce": false
    },
    {
      "parameters": {
        "model": "deepseek/deepseek-chat-v3-0324",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
      "typeVersion": 1,
      "position": [
        2240,
        20
      ],
      "id": "ba1ef08d-e8fb-49ce-8ac2-ca74dd6230ff",
      "name": "OpenRouter Chat Model1",
      "credentials": {
        "openRouterApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "operation": "executeTool",
        "toolName": "firecrawl_scrape",
        "toolParameters": "={\n  \"url\": \"{{ $fromAI('url', 'URL of the page to scrape') }}\",\n  \"formats\": [\n    \"markdown\"\n  ],\n  \"onlyMainContent\": true,\n  \"waitFor\": 1000,\n  \"timeout\": 30000,\n  \"mobile\": false,\n  \"includeTags\": [\n    \"article\",\n    \"main\",\n    \".DocSearch-content\"\n  ],\n  \"excludeTags\": [\n    \"nav\",\n    \"footer\",\n    \"header\",\n    \"script\",\n    \"style\"\n  ],\n  \"skipTlsVerification\": false\n}"
      },
      "type": "n8n-nodes-mcp.mcpClientTool",
      "typeVersion": 1,
      "position": [
        2740,
        0
      ],
      "id": "e78cbe22-111b-4d6b-b9a5-efbd3cecfb16",
      "name": "Firecrawl scrape",
      "credentials": {
        "mcpClientApi": {
          "name": "<your credential>"
        }
      },
      "disabled": true
    },
    {
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// 1. \u0443\u0431\u0440\u0430\u0442\u044c ```json \u2026 ```\nlet raw = $json.output ?? '';\nraw = raw.replace(/^```json\\s*/i,'').replace(/```$/i,'').trim();\n\n// 2. parse\nlet obj;\ntry { obj = JSON.parse(raw); } catch { obj = {}; }\n\n// 3. meta \u0438\u0437 Merge\nconst {\n  batch_id,\n  idx_in_batch,\n  type = 'web',\n  url,\n  expected_map          // \u2190 \u0441\u0447\u0451\u0442\u0447\u0438\u043a\u0438 \u043e\u0442 Split & Tag\n} = $json;\n\n// 4. \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\nreturn {\n  json: {\n    batch_id,\n    idx_in_batch,\n    type,\n    url: obj.url ?? url,\n    language: obj.language ?? null,\n    title:    obj.title    ?? null,\n    text:     obj.text     ?? '',\n    expected_map,          // \u2190 \u043f\u0440\u043e\u043a\u0438\u0434\u044b\u0432\u0430\u0435\u043c \u0431\u0435\u0437 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439\n    retrieved_at: new Date().toISOString(),\n    error: (obj.text ?? '').startsWith('ERROR')\n  }\n};\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2820,
        -160
      ],
      "id": "a4c2fb78-2322-4e6f-95ae-1347ef63917a",
      "name": "Scrape Parser"
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "641b9fae-4349-4893-a217-3688c2133df8",
              "leftValue": "={{ $json.error }}",
              "rightValue": true,
              "operator": {
                "type": "boolean",
                "operation": "equals"
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        3000,
        -160
      ],
      "id": "f93be6a9-9997-46fc-a469-d14b135ed1a2",
      "name": "Error check"
    },
    {
      "parameters": {
        "chatId": "={{ $('Telegram Trigger').item.json.message.from.id }}",
        "text": "Scrape error",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        3200,
        -340
      ],
      "id": "127e87cb-6ae6-4d59-8be5-ebef772cdb8e",
      "name": "Telegram",
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "content": "## SCRAPING (PAID, API FIRECRAWL.DEV)\n",
        "height": 520,
        "width": 1440,
        "color": 7
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        2040,
        -360
      ],
      "id": "40aa9240-4446-4525-ac72-b72eb4ed833c",
      "name": "Sticky Note2"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.url }}\nor\n{{ $json.chatInput }}",
        "hasOutputParser": true,
        "options": {
          "systemMessage": "You will receive URL/URL's in the user prompt.\nProcess it with scrape tool once for each url and return a single JSON object\u2014no arrays, no extra text. ONLY ON\nUSE EXACTLY ONE SCRAPETOOL CALL PER URL \u2014 NO MORE, NO LESS.  \nTHE NUMBER OF SCRAPE CALLS MUST MATCH THE NUMBER OF URLS.  \nDO NOT POST-PROCESS SCRAPE RESULTS WITH THE LANGUAGE MODEL \u2014 JUST COLLECT AND RETURN THEM AS RAW JSON.\nIF YOU RECEIVE TEXT FROM URL - DID NOT SEND IT URL AGAIN TO SCRAPE!!!!!\nSteps\n1. Run `scrapetool` with:\n   {\n     \"url\": <URL>,\n     \"format\": \"markdown\",\n     \"cleaned\": true,\n     \"renderJs\": true\n   }\n\n2. If scraping fails \u2192 return:\n   {\n     \"url\": <URL>,\n     \"language\": null,\n     \"title\": null,\n     \"text\": \"ERROR: Failed to scrape URL\"\n   }\n\n3. If scraping succeeds \u2192\n   \u2022 Extract the best possible page title (prefer `result.metadata.title`, otherwise use the first <title>) \u2192 `title`.\n   \u2022 Take the Markdown body, remove all boilerplate and irrelevant content:\n     - navigation menus, cookie banners, polls, \u201cEdit this page\u201d links, \u201cWas this page helpful?\u201d, mailto: links, user feedback forms, share buttons, site footers, and similar UI elements.\n   \u2022 Do NOT translate the title or the text\u2014return them in the original language.\n   \u2022 Detect the language of the cleaned `text` (ISO 639-1, e.g., \"en\", \"ru\") and return as `language`.\n   \u2022 If the cleaned body is empty \u2192 return:\n       \"text\": \"INFO: No relevant content found\"\n   \u2022 Normalize the output text: remove meaningless characters like repeated dashes or empty lines, use standard `\\n`, `\\n\\n` for paragraph formatting.\n\nDo not delete url in text if it part of a text (and it is important for the meaning)\n\nReturn exactly that JSON object and nothing else.\n"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.8,
      "position": [
        2280,
        -140
      ],
      "id": "fb039661-5af7-4b14-aa00-d242c165ae6d",
      "name": "Ai Scraping",
      "alwaysOutputData": false
    },
    {
      "parameters": {
        "content": "##                                 LOCAL EXTRACTOR TXT/PDF/PDF+IMG",
        "height": 420,
        "width": 1440,
        "color": 7
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        2040,
        240
      ],
      "id": "7f6a0213-f157-4e6b-a887-47fcee0d7309",
      "name": "Sticky Note3"
    },
    {
      "parameters": {
        "content": "# \u041c\u041e\u0414\u0423\u041b\u042c \u0418\u0417\u0412\u041b\u0415\u0427\u0415\u041d\u0418\u042f \u041a\u041e\u041d\u0422\u0415\u041d\u0422\u0410\n",
        "height": 1600,
        "width": 1620,
        "color": 4
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        1940,
        -900
      ],
      "id": "7266d7a1-524a-40ca-b5a7-0e7d111a3452",
      "name": "Sticky Note4"
    },
    {
      "parameters": {
        "jsCode": "// 0. \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u043c \u0432\u0445\u043e\u0434\nconst rows = [];\nfor (const el of $input.all()) {\n  const j = el.json;\n  if (Array.isArray(j.items)) rows.push(...j.items);\n  else                        rows.push(j);\n}\nif (!rows.length) return [];   // \u043d\u0435\u0447\u0435\u0433\u043e \u043e\u0431\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c\n\n// 1. \u0441\u0447\u0438\u0442\u0430\u0435\u043c, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0442\u0438\u043f\u0430 \u0432\u0441\u0442\u0440\u0435\u0442\u0438\u043b\u043e\u0441\u044c\nconst expectedMap = {};\nrows.forEach(r => expectedMap[r.type] = (expectedMap[r.type] || 0) + 1);\n\nconst batchId = $execution.id;\nconst fallback = (id, i) => `file_${id || i}.bin`;\n\n// 2. \u0444\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c \u0432\u044b\u0445\u043e\u0434\u043d\u044b\u0435 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b\nreturn rows.map((r, i) => {\n  const item = { ...r };\n\n  if (item.type === 'file') {\n    item.file_name = item.file_name || fallback(item.file_id, i);\n  }\n\n  return {\n    json: {\n      batch_id:      batchId,\n      idx_in_batch:  i,\n      expected_map:  expectedMap,        // \u2190 { web:3, video:2, file:1 }\n      ...item                            // type, url / file_id / file_name \u2026\n    }\n  };\n});\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1560,
        -60
      ],
      "id": "ee6c898d-8509-4c1c-abac-2d7f6085a4fc",
      "name": "Split & Tag"
    },
    {
      "parameters": {
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "items",
        "options": {}
      },
      "type": "n8n-nodes-base.aggregate",
      "typeVersion": 1,
      "position": [
        3960,
        -140
      ],
      "id": "bc85b801-7a3f-421b-87d1-d85ef6d4ba3a",
      "name": "Aggregate"
    },
    {
      "parameters": {
        "jsCode": "const items = $json.items || [];\nif (!items.length) return [];\n\n// \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0434\u043e\u043b\u0436\u043d\u043e \u0431\u044b\u0442\u044c (\u0431\u0435\u0440\u0451\u043c \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0430 \u043f\u0430\u0440\u0442\u0438\u0438)\nconst need = items[0].expected_map || {};\n\n// \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u043f\u0440\u0438\u0448\u043b\u043e\nconst got = {};\nitems.forEach(it => got[it.type] = (got[it.type] || 0) + 1);\n\n// \u0433\u043e\u0442\u043e\u0432\u044b \u043b\u0438 \u0432\u0441\u0435 \u0442\u0438\u043f\u044b \u0432 \u043d\u0443\u0436\u043d\u043e\u043c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0435?\nconst ready = Object.keys(need)\n  .every(t => (got[t] || 0) >= need[t]);\n\nif (ready) {\n  // \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u0435\u043c \u0432\u0441\u044e \u043f\u0430\u0440\u0442\u0438\u044e \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 item\n  return items.map(it => ({ json: it }));\n}\n\n// \u0435\u0449\u0451 \u0436\u0434\u0451\u043c \u2014 \u043d\u0438\u0447\u0435\u0433\u043e \u043d\u0435 \u043e\u0442\u0434\u0430\u0451\u043c\nreturn [];\n\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        4120,
        -140
      ],
      "id": "45e13cdc-7398-4c57-999d-4532afd9c4a0",
      "name": "Gatekeeper"
    },
    {
      "parameters": {
        "includeOtherFields": true,
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        2380,
        -300
      ],
      "id": "ebb7ccf0-2178-422f-8d36-a355ba81a838",
      "name": "Keep meta scraping"
    },
    {
      "parameters": {
        "includeOtherFields": true,
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        2480,
        320
      ],
      "id": "4ba43fb1-b51e-455d-8284-361abfeb4155",
      "name": "Keep meta file"
    },
    {
      "parameters": {
        "mode": "combine",
        "combineBy": "combineByPosition",
        "options": {}
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.1,
      "position": [
        2640,
        -160
      ],
      "id": "be91d867-c5a7-456c-a4f3-44bcc3845b89",
      "name": "Merge scraping"
    },
    {
      "parameters": {
        "mode": "combine",
        "combineBy": "combineByPosition",
        "options": {}
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.1,
      "position": [
        2960,
        340
      ],
      "id": "48fa5fe4-fc76-4317-8d68-3a043d8a918f",
      "name": "Merge file"
    },
    {
      "parameters": {
        "jsCode": "// ---------- 0) \u0423\u043d\u0438\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u0430\u044f \u0440\u0430\u0441\u043f\u0430\u043a\u043e\u0432\u043a\u0430 \u0432\u0445\u043e\u0434\u0430 ----------\nfunction unwrapText(input) {\n  let cur = input;\n  for (let i = 0; i < 3; i++) {                 // \u0441\u043d\u0438\u043c\u0430\u0435\u043c \u0432\u043b\u043e\u0436\u0435\u043d\u043d\u044b\u0435 JSON-\u043e\u0431\u0451\u0440\u0442\u043a\u0438\n    if (typeof cur === 'string') {\n      try { cur = JSON.parse(cur); continue; } catch { break; }\n    }\n    break;\n  }\n  if (Array.isArray(cur)) {\n    if (cur[0] && typeof cur[0].text === 'string') return cur[0].text;\n    if (typeof cur[0] === 'string') return cur[0];\n  }\n  if (cur && typeof cur === 'object' && typeof cur.text === 'string') return cur.text;\n  return String(cur ?? '');\n}\n\n// ---------- 1) \u0411\u0435\u0440\u0451\u043c \u0441\u044b\u0440\u043e\u0439 \u0442\u0435\u043a\u0441\u0442 ----------\nconst rawInner = unwrapText($json.text).replace(/\\r/g, '');\n\n// ---------- 2) \u0420\u0435\u0436\u0435\u043c \u043f\u043e \u043c\u0430\u0440\u043a\u0435\u0440\u0430\u043c \u0438 \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u043c \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u043c\u043e\u0435 \u043c\u0435\u0436\u0434\u0443 \u043d\u0438\u043c\u0438 ----------\nconst re = /--- (?:Page \\d+|OCR Text from Image on Page \\d+) ---\\n?([\\s\\S]*?)(?=--- (?:Page \\d+|OCR Text from Image on Page \\d+) ---|$)/g;\nlet m, chunks = [];\nwhile ((m = re.exec(rawInner)) !== null) {\n  const t = m[1].trim();\n  if (t) chunks.push(t);\n}\n\n// ---------- 3) \u041d\u043e\u0440\u043c\u0430\u043b\u0438\u0437\u0443\u0435\u043c \u0434\u043e \u0430\u0431\u0437\u0430\u0446\u0435\u0432 ----------\nlet text = chunks.join('\\n')\n  .replace(/[ \\t]+$/gm, '')   // \u0445\u0432\u043e\u0441\u0442\u043e\u0432\u044b\u0435 \u043f\u0440\u043e\u0431\u0435\u043b\u044b\n  .replace(/\\n{3,}/g, '\\n\\n'); // \u043c\u0430\u043a\u0441\u0438\u043c\u0443\u043c \u0434\u0432\u043e\u0439\u043d\u043e\u0439 \u043f\u0443\u0441\u0442\u043e\u0439\n\nconst paras = text\n  .split(/\\n{2,}/)\n  .map(p => p\n    .replace(/-\\n(?=\\p{L})/gu, '') // \u0441\u043d\u044f\u0442\u044c \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u044b \u0441\u043b\u043e\u0432\n    .replace(/\\n+/g, ' ')          // \u043e\u0434\u0438\u043d\u043e\u0447\u043d\u044b\u0435 \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u044b -> \u043f\u0440\u043e\u0431\u0435\u043b\n    .replace(/[ \\t]+/g, ' ')\n    .trim()\n  )\n  .filter(Boolean);\n\n// ---------- 4) \u0412\u043e\u0437\u0432\u0440\u0430\u0442 \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 n8n ----------\nreturn [{ json: { text: paras.join('\\n\\n') } }];\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        2660,
        480
      ],
      "id": "dcc5d292-e428-4ed2-af1b-836a9793af15",
      "name": "Text Structured"
    },
    {
      "parameters": {
        "mode": "combine",
        "combineBy": "combineByPosition",
        "options": {}
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.1,
      "position": [
        3160,
        -740
      ],
      "id": "b6f0875e-31c4-4551-a038-e1eb17dd594f",
      "name": "Merge transcribe"
    },
    {
      "parameters": {
        "includeOtherFields": true,
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        2220,
        -760
      ],
      "id": "de142345-5ce8-4f89-bb58-6936de721ac0",
      "name": "Keep meta transcript"
    },
    {
      "parameters": {
        "jsCode": "const items = $input.all();\n\nreturn items.map(({ json }) => {\n  const {\n    batch_id,\n    idx_in_batch,\n    type = 'video',\n    expected_map,\n    url,\n    data = ''\n  } = json;\n\n  // 1. \u0420\u0430\u0437\u0431\u043e\u0440 SRT \u2014 \u0443\u0431\u0438\u0440\u0430\u0435\u043c \u043d\u043e\u043c\u0435\u0440 \u0441\u0442\u0440\u043e\u043a\u0438 \u0438 \u0442\u0430\u0439\u043c\u043a\u043e\u0434\u044b\n  const lines = data\n    .split(/\\n{2,}/)\n    .map(block => block.split('\\n').slice(2)) // \u0443\u0431\u0438\u0440\u0430\u0435\u043c \u043d\u043e\u043c\u0435\u0440 \u0438 \u0442\u0430\u0439\u043c\u043a\u043e\u0434\n    .flat()\n    .filter(Boolean);\n\n  const cleanText = lines.join('\\n').trim();\n\n  // 2. \u042f\u0437\u044b\u043a\n  const lang = /[\u0430-\u044f\u0451]/i.test(cleanText) ? 'ru' : 'en';\n\n  // 3. \u0412\u043e\u0437\u0432\u0440\u0430\u0442\n  return {\n    json: {\n      batch_id,\n      idx_in_batch,\n      type,\n      url,\n      language: lang,\n      text: cleanText,\n      expected_map,\n      retrieved_at: new Date().toISOString(),\n      error: !cleanText\n    }\n  };\n});\n\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        3340,
        -740
      ],
      "id": "646b141c-86a6-4e88-b3de-f0c2f3fda31a",
      "name": "Video parser"
    },
    {
      "parameters": {
        "executeOnce": false,
        "command": "=rm \"{{ $('Set Names').item.json.dynamicAudioPath }}\""
      },
      "type": "n8n-nodes-base.executeCommand",
      "typeVersion": 1,
      "position": [
        3160,
        -600
      ],
      "id": "f1ec86ea-e0ec-49a2-a60e-55894c16e176",
      "name": "Temp delete"
    },
    {
      "parameters": {
        "method": "POST",
        "url": "http://flask-app:5000/process_pdf",
        "sendBody": true,
        "contentType": "multipart-form-data",
        "bodyParameters": {
          "parameters": [
            {
              "parameterType": "formBinaryData",
              "name": "pdf",
              "inputDataFieldName": "data"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        2480,
        480
      ],
      "id": "f6b6d595-30bf-4527-9311-35f3748c5865",
      "name": "Extractor"
    },
    {
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// \u0431\u0430\u0437\u043e\u0432\u044b\u0435 \u043f\u043e\u043b\u044f \u0438\u0437 Merge-\u0443\u0437\u043b\u0430\nconst {\n  batch_id,\n  idx_in_batch,\n  type   = 'file',\n  expected_map,          // \u2190 \u0441\u0447\u0451\u0442\u0447\u0438\u043a\u0438 \u043f\u0440\u0438\u0448\u043b\u0438 \u0438\u0437 Split & Tag\n  file_id,\n  file_name,\n  text\n} = $json;\n\n/* \u043e\u0447\u0435\u043d\u044c \u0433\u0440\u0443\u0431\u043e\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u044f\u0437\u044b\u043a\u0430 */\nconst lang = /[\u0430-\u044f\u0451]/i.test(text) ? 'ru' : 'en';\n\nreturn {\n  json: {\n    batch_id,\n    idx_in_batch,\n    type,                 // \"file\"\n    file_name,            // \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u043c\n    language: lang,\n    text,\n    expected_map,         // \u2190 \u043f\u0440\u043e\u043a\u0438\u0434\u044b\u0432\u0430\u0435\u043c \u043a\u0430\u043a \u0435\u0441\u0442\u044c\n    retrieved_at: new Date().toISOString(),\n    error: !text || text.startsWith('ERROR')\n  }\n};\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        3200,
        340
      ],
      "id": "87d67225-5fb1-4c33-bc6e-74ada56bbc89",
      "name": "File Parser"
    },
    {
      "parameters": {
        "content": "## \u041c\u041e\u0414\u0423\u041b\u042c \u041f\u041e\u0414\u0413\u041e\u0422\u041e\u0412\u041a\u0418 \u0418\u041d\u0424\u041e\u0420\u041c\u0410\u0426\u0418\u0418 \u0418 \u042d\u041c\u0411\u0415\u0414\u0414\u0418\u041d\u0413\u0410",
        "height": 480,
        "width": 1180,
        "color": 4
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        4300,
        -320
      ],
      "id": "05f6f8d8-512c-4328-b0e9-467d84301c4e",
      "name": "Sticky Note5"
    },
    {
      "parameters": {
        "numberInputs": 3
      },
      "type": "n8n-nodes-base.merge",
      "typeVersion": 3.1,
      "position": [
        3780,
        -140
      ],
      "id": "7ec25deb-9d0a-4cb7-8e86-aab542cfb919",
      "name": "Merge all"
    },
    {
      "parameters": {
        "jsCode": "// --- \u041d\u0410\u0427\u0410\u041b\u041e \u041a\u041e\u0414\u0410 \u0414\u041b\u042f \u0423\u0417\u041b\u0410 n8n Clean & Format ---\n\n// \u0421\u044e\u0434\u0430 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0439\u0442\u0435 \u0432\u0430\u0448\u0438 \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u044b\u0435 \u0432\u044b\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u044f \"\u043c\u0443\u0441\u043e\u0440\u0430\".\n// \u041e\u043d\u0438 \u0434\u043e\u043b\u0436\u043d\u044b \u0431\u044b\u0442\u044c \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u043e\u0431\u0449\u0438\u043c\u0438, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0434\u043b\u044f \u0440\u0430\u0437\u043d\u044b\u0445 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u043e\u0432.\n// \u041f\u0440\u0438\u043c\u0435\u0440 \u0438\u0437 \u0432\u0430\u0448\u0435\u0433\u043e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430, \u043d\u043e \u043b\u0443\u0447\u0448\u0435 \u043e\u0431\u043e\u0431\u0449\u0430\u0442\u044c \u0438\u043b\u0438 \u0438\u043c\u0435\u0442\u044c \u0441\u043f\u0438\u0441\u043e\u043a \u0442\u0430\u043a\u0438\u0445 \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u043e\u0432.\nconst BOILERPLATE_PATTERNS = [\n  /^back to top$/i,\n  /^was this page helpful\\?$/i,\n  /^thanks? for your feedback$/i,\n  // \u0414\u043e\u0431\u0430\u0432\u044c\u0442\u0435 \u0441\u044e\u0434\u0430 \u0434\u0440\u0443\u0433\u0438\u0435 \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u044b, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440:\n  // /^\u0421\u043a\u0430\u0447\u0430\u043d\u043e \u0441 \u0441\u0430\u0439\u0442\u0430 - SuperSliv\\.biz - \u041f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u044f\u0439\u0441\u044f!$/gim,\n  // /^SuperSliv\\.biz - \u0422\u0432\u043e\u0439 \u043b\u0443\u0447\u0448\u0438\u0439 \u0412\u042b\u0411\u041e\u0420!$/gim,\n  // /\\^ \u0423\u0411\u041e\u0419\u041d\u042b\u0415 Oe/g, // \u0415\u0441\u043b\u0438 \u044d\u0442\u043e \u043f\u043e\u0441\u0442\u043e\u044f\u043d\u043d\u044b\u0439 \u0430\u0440\u0442\u0435\u0444\u0430\u043a\u0442\n];\n\nfunction cleanInline(str) {\n  // \u0412\u0430\u0448\u0430 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0430\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0434\u043b\u044f \u043e\u0447\u0438\u0441\u0442\u043a\u0438 inline-\u0440\u0430\u0437\u043c\u0435\u0442\u043a\u0438\n  return str\n    .replace(/\\[([^\\\\]]+?)\\]\\((https?:\\/\\/[^\\\\)]+?)\\)/gi, '$1 ($2)')\n    .replace(/\\[([^\\\\]]+?)\\]/g, '$1')\n    .replace(/(\\*\\*|__)(.*?)\\1/g, '$2')\n    .replace(/(\\*|_)(.*?)\\1/g,  '$2')\n    .replace(/`([^`]+?)`/g,     '$1');\n}\n\nfunction needsParagraphBreak(prevLineTrimmed, currentLineTrimmed) {\n  // \u0412\u0430\u0448\u0430 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0430\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0434\u043b\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u0438 \u0440\u0430\u0437\u0440\u044b\u0432\u0430 \u0430\u0431\u0437\u0430\u0446\u0430\n  if (!prevLineTrimmed) return false;\n  const lastCharPrev = prevLineTrimmed.slice(-1);\n  const firstCharCurr = currentLineTrimmed.charAt(0);\n  // \u041f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u043c, \u0437\u0430\u043a\u0430\u043d\u0447\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043b\u0438 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0430\u044f \u0441\u0442\u0440\u043e\u043a\u0430 \u043d\u0430 \u043f\u0443\u043d\u043a\u0442\u0443\u0430\u0446\u0438\u044e \u043a\u043e\u043d\u0446\u0430 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f\n  // \u0438 \u043d\u0430\u0447\u0438\u043d\u0430\u0435\u0442\u0441\u044f \u043b\u0438 \u0442\u0435\u043a\u0443\u0449\u0430\u044f \u0441 \u0437\u0430\u0433\u043b\u0430\u0432\u043d\u043e\u0439 \u0431\u0443\u043a\u0432\u044b (\u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u044d\u0432\u0440\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u043e\u0434\u0445\u043e\u0434)\n  return '.!?:\uff1a'.includes(lastCharPrev) && firstCharCurr === firstCharCurr.toUpperCase() && /[A-Z\u0410-\u042f\u0401]/.test(firstCharCurr);\n}\n\nfunction cleanText(raw = '') {\n  raw = raw.replace(/\\r\\n?/g, '\\n'); // \u0423\u043d\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u044f \u043a\u043e\u043d\u0446\u043e\u0432 \u0441\u0442\u0440\u043e\u043a\n  const lines = raw.split('\\n');\n\n  const paras = []; // \u041c\u0430\u0441\u0441\u0438\u0432 \u0434\u043b\u044f \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0433\u043e\u0442\u043e\u0432\u044b\u0445 \u0430\u0431\u0437\u0430\u0446\u0435\u0432\n  let buf = '';     // \u0411\u0443\u0444\u0435\u0440 \u0434\u043b\u044f \u043d\u0430\u043a\u043e\u043f\u043b\u0435\u043d\u0438\u044f \u0442\u0435\u043a\u0443\u0449\u0435\u0433\u043e \u0430\u0431\u0437\u0430\u0446\u0430\n\n  const flush = () => {\n    const trimmedBuf = buf.trim();\n    if (trimmedBuf) { // \u0414\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u043c \u0432 paras, \u0442\u043e\u043b\u044c\u043a\u043e \u0435\u0441\u043b\u0438 \u0431\u0443\u0444\u0435\u0440 \u043d\u0435 \u043f\u0443\u0441\u0442\u043e\u0439 \u043f\u043e\u0441\u043b\u0435 trim\n      paras.push(trimmedBuf);\n    }\n    buf = ''; // \u041e\u0447\u0438\u0449\u0430\u0435\u043c \u0431\u0443\u0444\u0435\u0440\n  };\n\n  let previousLineTrimmed = ''; // \u0425\u0440\u0430\u043d\u0438\u043c \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0443\u044e \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443 \u0434\u043b\u044f needsParagraphBreak\n\n  for (let i = 0; i < lines.length; i++) {\n    let currentLineRawTrimmed = lines[i].trim(); // \u0422\u0435\u043a\u0443\u0449\u0430\u044f \u0441\u0442\u0440\u043e\u043a\u0430, \u043e\u0447\u0438\u0449\u0435\u043d\u043d\u0430\u044f \u043e\u0442 \u043f\u0440\u043e\u0431\u0435\u043b\u043e\u0432 \u043f\u043e \u043a\u0440\u0430\u044f\u043c\n\n    // 1. \u041f\u0440\u043e\u043f\u0443\u0441\u043a \u043f\u0443\u0441\u0442\u044b\u0445 \u0441\u0442\u0440\u043e\u043a \u0438 \u0441\u0431\u0440\u043e\u0441 \u0431\u0443\u0444\u0435\u0440\u0430 (\u043d\u0430\u0447\u0430\u043b\u043e \u043d\u043e\u0432\u043e\u0433\u043e \u0430\u0431\u0437\u0430\u0446\u0430)\n    if (!currentLineRawTrimmed) {\n      flush();\n      previousLineTrimmed = ''; // \u0421\u0431\u0440\u0430\u0441\u044b\u0432\u0430\u0435\u043c \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443, \u0442\u0430\u043a \u043a\u0430\u043a \u0431\u044b\u043b \u0440\u0430\u0437\u0440\u044b\u0432\n      continue;\n    }\n\n    // 2. \u041f\u0440\u043e\u043f\u0443\u0441\u043a \"\u043c\u0443\u0441\u043e\u0440\u043d\u044b\u0445\" \u0441\u0442\u0440\u043e\u043a\n    if (BOILERPLATE_PATTERNS.some(rx => rx.test(currentLineRawTrimmed)) || currentLineRawTrimmed.startsWith('![')) {\n      flush(); // \u0421\u0431\u0440\u0430\u0441\u044b\u0432\u0430\u0435\u043c \u0431\u0443\u0444\u0435\u0440 \u043f\u0435\u0440\u0435\u0434 \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u043e\u043c \u043c\u0443\u0441\u043e\u0440\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438\n      previousLineTrimmed = ''; // \u0421\u0431\u0440\u0430\u0441\u044b\u0432\u0430\u0435\u043c \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443\n      continue;\n    }\n\n    const markerRx = /^\\s*(#{1,6}|[-*\u2022]|\\d+\\.)\\s+/; // \u041c\u0430\u0440\u043a\u0435\u0440\u044b \u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043a\u043e\u0432 \u0438 \u0441\u043f\u0438\u0441\u043a\u043e\u0432\n    const isMarkerLine = markerRx.test(currentLineRawTrimmed);\n    let textToProcess = currentLineRawTrimmed;\n\n    if (isMarkerLine) {\n      // \u0415\u0441\u043b\u0438 \u0442\u0435\u043a\u0443\u0449\u0430\u044f \u0441\u0442\u0440\u043e\u043a\u0430 - \u044d\u0442\u043e \u043d\u043e\u0432\u044b\u0439 \u043c\u0430\u0440\u043a\u0435\u0440 (\u0437\u0430\u0433\u043e\u043b\u043e\u0432\u043e\u043a/\u044d\u043b\u0435\u043c\u0435\u043d\u0442 \u0441\u043f\u0438\u0441\u043a\u0430),\n      // \u0438 \u0432 \u0431\u0443\u0444\u0435\u0440\u0435 \u0443\u0436\u0435 \u0447\u0442\u043e-\u0442\u043e \u0435\u0441\u0442\u044c (\u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0439 \u0430\u0431\u0437\u0430\u0446 \u0438\u043b\u0438 \u044d\u043b\u0435\u043c\u0435\u043d\u0442 \u0441\u043f\u0438\u0441\u043a\u0430), \u0441\u0431\u0440\u0430\u0441\u044b\u0432\u0430\u0435\u043c \u0431\u0443\u0444\u0435\u0440.\n      flush();\n      textToProcess = currentLineRawTrimmed.replace(markerRx, '').trim(); // \u0423\u0434\u0430\u043b\u044f\u0435\u043c \u043c\u0430\u0440\u043a\u0435\u0440\n    }\n\n    textToProcess = cleanInline(textToProcess); // \u041f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u043c inline \u043e\u0447\u0438\u0441\u0442\u043a\u0443\n\n    // 3. \u041b\u043e\u0433\u0438\u043a\u0430 \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0430\u0431\u0437\u0430\u0446\u0435\u0432\n    if (!buf) { // \u0415\u0441\u043b\u0438 \u0431\u0443\u0444\u0435\u0440 \u043f\u0443\u0441\u0442 (\u043d\u0430\u0447\u0430\u043b\u043e \u043d\u043e\u0432\u043e\u0433\u043e \u0430\u0431\u0437\u0430\u0446\u0430)\n      buf = textToProcess;\n    } else {\n      // \u0411\u0443\u0444\u0435\u0440 \u043d\u0435 \u043f\u0443\u0441\u0442, \u0440\u0435\u0448\u0430\u0435\u043c, \u043a\u0430\u043a \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0442\u0435\u043a\u0443\u0449\u0438\u0439 \u0442\u0435\u043a\u0441\u0442:\n      // \u043a\u0430\u043a \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0435\u043d\u0438\u0435 \u0442\u0435\u043a\u0443\u0449\u0435\u0433\u043e \u0430\u0431\u0437\u0430\u0446\u0430 \u0438\u043b\u0438 \u043d\u0430\u0447\u0430\u0442\u044c \u043d\u043e\u0432\u044b\u0439.\n      // needsParagraphBreak \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u0435\u0442 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0443\u044e \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u043d\u0443\u044e \u0432 \u0431\u0443\u0444\u0435\u0440 \u0441\u0442\u0440\u043e\u043a\u0443 (\u0438\u043b\u0438 \u0435\u0435 \u043a\u043e\u043d\u0435\u0446)\n      // \u0441 \u0442\u0435\u043a\u0443\u0449\u0435\u0439 \u043e\u0431\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0435\u043c\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u043e\u0439 textToProcess.\n      // \u0412\u0430\u0436\u043d\u043e: `previousLineTrimmed` \u0437\u0434\u0435\u0441\u044c \u0434\u043e\u043b\u0436\u043d\u0430 \u0431\u044b\u0442\u044c \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0439 *\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u0439* \u0441\u0442\u0440\u043e\u043a\u043e\u0439.\n      if (needsParagraphBreak(previousLineTrimmed, textToProcess) && !isMarkerLine) {\n        // \u0415\u0441\u043b\u0438 \u043d\u0443\u0436\u0435\u043d \u0440\u0430\u0437\u0440\u044b\u0432 \u0430\u0431\u0437\u0430\u0446\u0430 \u0418 \u0442\u0435\u043a\u0443\u0449\u0430\u044f \u0441\u0442\u0440\u043e\u043a\u0430 \u043d\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043d\u0430\u0447\u0430\u043b\u043e\u043c \u043d\u043e\u0432\u043e\u0433\u043e \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u0430 \u0441\u043f\u0438\u0441\u043a\u0430\n        // (\u0447\u0442\u043e\u0431\u044b \u043d\u0435 \u0440\u0430\u0437\u0440\u044b\u0432\u0430\u0442\u044c \u0441\u0440\u0430\u0437\u0443 \u043f\u043e\u0441\u043b\u0435 \u043c\u0430\u0440\u043a\u0435\u0440\u0430, \u0435\u0441\u043b\u0438 \u043e\u043d \u0441\u0430\u043c \u043f\u043e \u0441\u0435\u0431\u0435 \u043d\u0435 \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u0440\u0430\u0437\u0440\u044b\u0432\u0430)\n        flush();\n        buf = textToProcess;\n      } else {\n        // \u041f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0435\u043c \u0442\u0435\u043a\u0443\u0449\u0438\u0439 \u0430\u0431\u0437\u0430\u0446/\u044d\u043b\u0435\u043c\u0435\u043d\u0442 \u0441\u043f\u0438\u0441\u043a\u0430, \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u044f \u043f\u0440\u043e\u0431\u0435\u043b\n        buf += ' ' + textToProcess;\n      }\n    }\n    previousLineTrimmed = textToProcess.split('\\n').pop()?.trim() || ''; // \u041e\u0431\u043d\u043e\u0432\u043b\u044f\u0435\u043c previousLineTrimmed \u043f\u043e\u0441\u043b\u0435\u0434\u043d\u0435\u0439 \u0447\u0430\u0441\u0442\u044c\u044e \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u043e\u0433\u043e \u0442\u0435\u043a\u0441\u0442\u0430\n  }\n\n  flush(); // \u0421\u0431\u0440\u043e\u0441 \u043e\u0441\u0442\u0430\u0442\u043a\u043e\u0432 \u0438\u0437 \u0431\u0443\u0444\u0435\u0440\u0430 \u043f\u043e\u0441\u043b\u0435 \u043e\u043a\u043e\u043d\u0447\u0430\u043d\u0438\u044f \u0446\u0438\u043a\u043b\u0430\n\n  return paras.join('\\n\\n'); // \u0421\u043e\u0435\u0434\u0438\u043d\u044f\u0435\u043c \u0432\u0441\u0435 \u0430\u0431\u0437\u0430\u0446\u044b \u0434\u0432\u043e\u0439\u043d\u044b\u043c \u043f\u0435\u0440\u0435\u043d\u043e\u0441\u043e\u043c \u0441\u0442\u0440\u043e\u043a\u0438\n}\n\n// \u2500\u2500 n8n mapping (\u0432\u0430\u0448\u0430 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0430\u044f \u043b\u043e\u0433\u0438\u043a\u0430 \u043c\u0430\u043f\u043f\u0438\u043d\u0433\u0430) \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\nreturn items.map(({ json }) => {\n  const {\n    idx_in_batch,\n    type = 'web',\n    text = '',\n    url,\n    file_name,\n    title,\n    language = null,\n    retrieved_at = new Date().toISOString()\n  } = json;\n\n  const cleaned = cleanText(text); // \u041f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u043c \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u043d\u0443\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043e\u0447\u0438\u0441\u0442\u043a\u0438\n\n  const out = {\n    type,\n    text: cleaned,\n    language,\n    retrieved_at,\n  };\n\n  // \u0421\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u043c \u043e\u0441\u0442\u0430\u043b\u044c\u043d\u044b\u0435 \u043f\u043e\u043b\u044f, \u043a\u0430\u043a \u0432 \u0432\u0430\u0448\u0435\u043c \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b\u044c\u043d\u043e\u043c \u043a\u043e\u0434\u0435\n  if (idx_in_batch !== undefined) out.idx_in_batch = idx_in_batch;\n  if (type === 'file' && file_name) out.file_name = file_name;\n  if (type === 'web' && title) out.title = title;\n  if ((type === 'web' || type === 'video') && url) out.url = url;\n\n  return { json: out };\n});\n// --- \u041a\u041e\u041d\u0415\u0426 \u041a\u041e\u0414\u0410 \u0414\u041b\u042f \u0423\u0417\u041b\u0410 n8n Clean & Format ---\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        4340,
        -140
      ],
      "id": "d33fd7ce-0964-4a07-95f3-4430a7efe15e",
      "name": "Clean & Format"
    },
    {
      "parameters": {
        "jsCode": "// \u041f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0437 \u0432\u0445\u043e\u0434\u0430\nconst results = Array.isArray($json.results) ? $json.results[0] : $json.results;\n\n// \u041c\u0435\u0442\u0430-\u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0437 Clean & Format\nconst meta = $('Clean & Format').first().json;\n\nconst sourceType = meta.type || '';\nconst title = meta.title || '';\nconst url = meta.url || '';\nconst fileName = meta.file_name || '';\nconst language = meta.language || '';\nconst retrievedAt = meta.retrieved_at || new Date().toISOString();\n\n// \u0424\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c \u043e\u0431\u044a\u0435\u043a\u0442\u044b \u0434\u043b\u044f \u043e\u0442\u043f\u0440\u0430\u0432\u043a\u0438 \u0432 \u0411\u0414\nconst items = (results.texts || []).map((text, i) => ({\n  type: sourceType,\n  language: language,\n  retrieved_at: retrievedAt,\n  paragraph_idx: i,\n  paragraph_text: text || '',\n  embedding: results.embeddings?.[i] || null,\n  title: title,\n  url: url,\n  file_name: fileName\n}));\n\nreturn { json: { items } };\n\n"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        5340,
        -180
      ],
      "id": "e3ab0a5a-e67d-4ca4-9b72-16634dbe2927",
      "name": "Results"
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://uhfliwtnkedtzbepfshw.supabase.co/rest/v1/documents_paragraphs",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "supabaseApi",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ $json.items }}",
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        5740,
        -180
      ],
      "id": "3f27d20f-c61b-4058-bbcf-1907183c02b5",
      "name": "PUSH TO DB",
      "alwaysOutputData": true,
      "credentials": {
        "supabaseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "content": "### \u0421\u0411\u041e\u0420 \u0418\u041d\u0424\u041e\u0420\u041c\u0410\u0426\u0418\u0418 \u0418 \u041e\u0416\u0418\u0414\u0410\u041d\u0418\u0415 \u0412\u0421\u0415\u0425 \u0414\u041e\u041a\u0423\u041c\u0415\u041d\u0422\u041e\u0412",
        "height": 220,
        "width": 540,
        "color": 5
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        3720,
        -200
      ],
      "id": "f44ae631-c193-4a3e-bb3f-741bfdc420e7",
      "name": "Sticky Note6"
    },
    {
      "parameters": {
        "chatId": "={{$json[\"message\"][\"chat\"][\"id\"]}}",
        "text": "\u0420\u0435\u0436\u0438\u043c \u0440\u0430\u0431\u043e\u0442\u044b:",
        "replyMarkup": "inlineKeyboard",
        "inlineKeyboard": {
          "rows": [
            {
              "row": {
                "buttons": [
                  {
                    "text": "\u0427\u0430\u0442",
                    "additionalFields": {
                      "callback_data": "chat"
                    }
                  },
                  {
                    "text": "\u0411\u0430\u0437\u0430",
                    "additionalFields": {
                      "callback_data": "documents"
                    }
                  },
                  {
                    "text": "(Clean chat)",
                    "additionalFields": {
                      "callback_data": "clean_chat"
                    }
                  },
                  {
                    "text": "(Clean base)",
                    "additionalFields": {
                      "callback_data": "clean_base"
                    }
                  }
                ]
              }
            }
          ]
        },
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        1060,
        440
      ],
      "id": "fa4bb1b2-3ef1-4d44-b4ff-634cf47fccde",
      "name": "Mode menu",
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "468aee87-e709-4059-946c-1ae0f8ce972d",
              "leftValue": "={{$json[\"callback_query\"]}}",
              "rightValue": "",
              "operator": {
                "type": "object",
                "operation": "notExists",
                "singleValue": true
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        600,
        520
      ],
      "id": "33b7b193-fffd-45b5-872e-9d1bfd3b0826",
      "name": "Button/Text?"
    },
    {
      "parameters": {
        "chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
        "text": "\u0412\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u0440\u0435\u0436\u0438\u043c \u0440\u0430\u0431\u043e\u0442\u044b:",
        "replyMarkup": "inlineKeyboard",
        "inlineKeyboard": {
          "rows": [
            {
              "row": {
                "buttons": [
                  {
                    "text": "\u0427\u0430\u0442",
                    "additionalFields": {
                      "callback_data": "chat"
                    }
                  },
                  {
                    "text": "\u0411\u0430\u0437\u0430",
                    "additionalFields": {
                      "callback_data": "documents"
                    }
                  }
                ]
              }
            }
          ]
        },
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        1660,
        440
      ],
      "id": "1405fcdb-d91a-4da3-a053-21f285229aac",
      "name": "Mode menu1",
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "c0b93697-8388-4239-88c5-c116725df95e",
              "leftValue": "={{ $json.current_mode }}",
              "rightValue": "",
              "operator": {
                "type": "string",
                "operation": "empty",
                "singleValue": true
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        1480,
        460
      ],
      "id": "9c429c44-7c3d-4afa-b0bd-d7d9bf69600a",
      "name": "Mode selected?"
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "6acf73f7-2da5-404c-b810-3949ad71be6e",
              "leftValue": "={{ $('Telegram Trigger').item.json.callback_query.data }}",
              "rightValue": "chat",
              "operator": {
                "type": "string",
                "operation": "equals",
                "name": "filter.operator.equals"
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        1300,
        840
      ],
      "id": "abe6ae2a-caef-459e-b5ea-d3dc81a44242",
      "name": "Chat/Base?"
    },
    {
      "parameters": {
        "chatId": "={{ $('Telegram Trigger').item.json.callback_query.message.chat.id }}",
        "text": "=*\u0412\u044b\u0431\u0440\u0430\u043d \u0440\u0435\u0436\u0438\u043c \\\"\u0417\u0430\u0433\u0440\u0443\u0437\u043a\u0430 \u0432 \u0431\u0430\u0437\u0443\\\"\\:*  \n\u2022 \u041c\u043e\u0436\u043d\u043e \u043e\u0442\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u0432\u0435\u0431\\-\u0441\u0441\u044b\u043b\u043a\u0443, \u0432\u0438\u0434\u0435\u043e \u0438\u043b\u0438 \u0444\u0430\u0439\u043b  \n\u2022 \u0412\u0441\u0451 \u0431\u0443\u0434\u0435\u0442 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u043e \u0432 \u0431\u0430\u0437\u0443  \n  \n_\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442\u0441\u044f_\\:  \n\u2022 \u0412\u0435\u0431\\-\u0441\u0441\u044b\u043b\u043a\u0430 \u2014 \u043b\u044e\u0431\u0430\u044f\\, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0430\u044f \u0442\u0435\u043a\u0441\u0442\\. \u0414\u043e 3 \u0448\u0442 \u0437\u0430 \u0440\u0430\u0437\\.  \n\u2022 \u0412\u0438\u0434\u0435\u043e \u2014 youtube\\.com \u0438 youtu\\.be\\. \u0414\u043e 3\u0448\u0442 \u0437\u0430 \u0440\u0430\u0437\\.  \n\u2022 \u0424\u0430\u0439\u043b\u044b \u2014 pdf \\/ docx \\/ txt\\, \u0442\u0430\u043a \u0436\u0435 \u0438\u0437\u0432\u043b\u0435\u043a\u0430\u0435\u0442\u0441\u044f \u0442\u0435\u043a\u0441\u0442 \u0438\u0437 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0432\u043d\u0443\u0442\u0440\u0438 \u0444\u0430\u0439\u043b\u043e\u0432\\. 1\u0448\u0442 \u0437\u0430 \u0440\u0430\u0437\\.",
        "additionalFields": {
          "parse_mode": "MarkdownV2"
        }
      },
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        1560,
        980
      ],
      "id": "7ec4c3f9-34b7-407b-9e8d-58eb76c13d27",
      "name": "Mode Base",
      "executeOnce": false,
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "chatId": "={{ $('Telegram Trigger').item.json.callback_query.message.chat.id }}",
        "text": "=*\u0412\u044b\u0431\u0440\u0430\u043d \u0440\u0435\u0436\u0438\u043c \"\u0427\u0430\u0442\":*  \n\u2022 \u041e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u0435 \u043f\u0430\u043c\u044f\u0442\u0438 \u2014 30 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439   \n\u2022 \u041e\u0431\u0440\u0430\u0449\u0435\u043d\u0438\u0435 \u043a \u0432\u0430\u0448\u0435\u0439 _RAG_ \u0431\u0430\u0437\u0435 \u2014 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043e",
        "additionalFields": {
          "parse_mode": "MarkdownV2"
        }
      },
      "type": "n8n-nodes-base.telegram",
      "typeVersion": 1.2,
      "position": [
        1560,
        720
      ],
      "id": "19c4ac86-35f9-42e7-995f-1f2a97d10475",
      "name": "Mode Chat",
      "executeOnce": false,
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://uhfliwtnkedtzbepfshw.supabase.co/rest/v1/user_state",
        "authentication": "predefinedCredentialType",
        "nodeCredentialType": "supabaseApi",
        "sendHeaders": true,
        "specifyHeaders": "json",
        "jsonHeaders": "{\n  \"Prefer\": \"resolution=merge-duplicates\"\n}",
        "sendBody": true,
        "contentType": "raw",
        "rawContentType": "application/json",
        "body": "={\n  \"user_id\":      \"{{ $json.callback_query.from.id }}\",\n  \"current_mode\": \"{{ $json.callback_query.data }}\",\n  \"updated_at\":   \"{{ $now }}\"\n}",
        "options": {}
      },
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        1080,
        840
      ],
      "id": "091de72d-eb78-434f-ae32-7a7937128ba7",
      "name": "Mode set",
      "credentials": {
        "supabaseApi": {
          "name": "<your

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• mcpClientApi
• openAiApi
• openRouterApi
• supabaseApi
• telegramApi

How this works

This RAG chatbot delivers instant, context-aware answers to users through Telegram by retrieving relevant information from connected data sources before generating responses. It suits teams and individuals who need a reliable conversational interface for internal knowledge or customer support without building a full custom application. The core step is the retrieval-augmented generation loop that combines OpenAI’s language model with the MCP tool to ground every reply in actual documents.

Use it when you require a persistent Telegram-based assistant that handles both text and voice messages; avoid it for one-off queries or when strict data residency rules prohibit cloud AI models. Common variations include swapping the knowledge base connector or adding approval steps before external actions.

About this workflow

RAG CHATBOT Main. Uses telegram, telegramTrigger, lmChatOpenAi, n8n-nodes-mcp. Event-driven trigger; 87 nodes.

Source: https://github.com/sibneurosnab/RAG-chatbot/blob/802b6f4b564553b499417179ef73e10b58cbc528/workflows/RAG_CHATBOT_Main.json — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

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