{
  "workflow": {
    "id": 5474,
    "name": "Airline web check-in data extraction with Ollama AI, Google Sheets & Postgres Vector DB",
    "views": 1106,
    "recentViews": 0,
    "totalViews": 1106,
    "createdAt": "2025-06-30T10:40:22.588Z",
    "description": "## Overview\n\nThis workflow retrieves airline web check-in URLs from Google Sheets, scrapes their content, employs an LLM to generate structured JSON data, refreshes the sheet, creates embeddings, and saves them in a Postgres vector DB for future semantic searches or question-answering.\n\n### Quick Notes\n\n- Verify that Google Sheets has accurate URLs for scraping.  \n- Ensure the Postgres vector DB is set up correctly for embedding storage.\n\n### Process Flow\n\n1. Start the workflow with the `Chat Trigger - Start` node.  \n2. Retrieve airline check-in URLs using the `Fetch Airline URLs` node.  \n3. Scrape webpage data with the `Scrape Airline Webpage` node.  \n4. Extract JSON data using the `Extract info with LLM` node with a Chat Model.  \n5. Pause for a response with the `Wait for Response` node.  \n6. Update Google Sheets with the `Store Extracted Data` node.  \n7. Create embeddings with the `Generate Embeddings` node and store in Postgres vector DB with the `Save to Vector DB` node.  \n8. Break down long text with the `Split Long Text` node and delay the next batch with the `Wait Before Next Batch` node.\n\n### Getting Started\n\n- Import the workflow into n8n and set up Google Sheets and Postgres vector DB credentials.  \n- Run a test with a sample URL to confirm scraping and embedding storage.\n\n### Tailored Adjustments\n\nTweak the `Extract info with LLM` node to adjust JSON output or modify the `Fetch Airline URLs` node to pull from different sheet fields.",
    "workflow": {
      "id": "FLn2skSh92HNO2SS",
      "meta": {
        "instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
        "templateCredsSetupCompleted": true
      },
      "name": "Airline Web Check-in Scraper with AI & Vector DB Storage using n8n",
      "tags": [],
      "nodes": [
        {
          "id": "ee7a49bf-a2dc-4d12-aef0-9add291a398c",
          "name": "Loop Over Items",
          "type": "n8n-nodes-base.splitInBatches",
          "position": [
            -220,
            175
          ],
          "parameters": {
            "options": {}
          },
          "typeVersion": 3
        },
        {
          "id": "049cfbd5-bbc7-483c-964e-a32cdab1e6b8",
          "name": "Fetch Airline URLs\t",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            -440,
            175
          ],
          "parameters": {
            "options": {},
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": 2125635496,
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ws8YonQyc32SveWQdfihYOW_OzOS-2REIrwSYS37oQ8/edit#gid=2125635496",
              "cachedResultName": "Sheet1"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "1ws8YonQyc32SveWQdfihYOW_OzOS-2REIrwSYS37oQ8",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ws8YonQyc32SveWQdfihYOW_OzOS-2REIrwSYS37oQ8/edit?usp=drivesdk",
              "cachedResultName": "airline_faq_urls"
            },
            "authentication": "serviceAccount"
          },
          "credentials": {
            "googleApi": {
              "id": "credential-id",
              "name": "googleApi Credential"
            }
          },
          "typeVersion": 4.5
        },
        {
          "id": "7e2ca713-229f-490c-bd2e-481cf8f18184",
          "name": "Chat Trigger - Start\t",
          "type": "@n8n/n8n-nodes-langchain.chatTrigger",
          "position": [
            -660,
            175
          ],
          "webhookId": "6c85024c-928b-4f43-82b3-d1469283586f",
          "parameters": {
            "public": true,
            "options": {}
          },
          "typeVersion": 1.1
        },
        {
          "id": "c11c66ea-3e36-4c12-a263-109d03d8be1a",
          "name": "Scrape Airline Webpage\t",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            0,
            0
          ],
          "parameters": {
            "url": "=https://r.jina.ai/{{ $json['WEB CHECK IN URL'] }}",
            "method": "POST",
            "options": {},
            "jsonHeaders": "{\n  \"Cookie\": \"cookie-keyname1=cookie-value1; cookie-keyname2=cookie-value2; cookie-keyname3=cookie-value3\"\n}\n",
            "sendHeaders": true,
            "authentication": "genericCredentialType",
            "specifyHeaders": "json",
            "genericAuthType": "httpHeaderAuth"
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "27072e20-58dc-49e2-ae6b-1053750607f9",
          "name": "Extract Info with LLM\t",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
            220,
            0
          ],
          "parameters": {
            "text": "={{ $json.data }}",
            "messages": {
              "messageValues": [
                {
                  "message": "=You are an intelligent parser trained to extract structured data from messy airline webpages.\n\nYour task is to extract and return well-structured airline check-in and policy details from raw text. Always return the result as a clean, valid JSON object using the exact schema described below.\n\n---\n\nExtraction Guidelines:\n\n* Ensure consistent JSON structure for every airline.\n* If a key has no value or content, **remove it** (do not return null, empty arrays, or empty objects).\n* Include any other useful data under `\"additional_info\"` if it doesn’t fit existing keys.\n* Always extract **direct URLs** wherever available.\n* Your output should be compact, valid, and readable JSON.\n\n---\n\nJSON Structure Format:\n\n1. Web Check-in Details\n\n* \"web\\_checkin\\_available\": true/false\n* \"checkin\\_url\": \"<URL>\"\n* \"checkin\\_methods\": \\[\"Online\", \"Mobile App\", \"Kiosk\", \"Airport Counter\"]\n* \"checkin\\_start\": \"<Start Time>\"\n* \"checkin\\_deadline\": \"<Deadline Time>\"\n* \"boarding\\_pass\\_options\":\n\n  * \"mobile\\_boarding\\_pass\\_available\": true/false\n  * \"printed\\_boarding\\_pass\\_required\": true/false\n  * \"additional\\_checkin\\_info\": \"<Extra instructions>\"\n\n2. Customer Support\n\n* \"customer\\_support\":\n\n  * \"phone\": \"<Phone Number>\"\n  * \"email\": \"<Email>\"\n  * \"support\\_url\": \"<Support URL>\"\n  * \"chat\\_url\": \"<Chat URL>\"\n  * \"operating\\_hours\": \"<Hours>\"\n  * \"additional\\_help\\_channels\": \\[\"WhatsApp\", \"Twitter Support\", \"Chatbot\"]\n\n3. Baggage Allowance\n\n* \"baggage\\_allowance\":\n\n  * \"hand\\_baggage\":\n\n    * \"weight\\_limit\": \"<Weight Limit>\"\n    * \"size\\_limit\": \"<Size Limit>\"\n    * \"additional\\_items\\_allowed\": \\[\"Handbag\", \"Laptop\", \"Baby Items\", \"Medical Equipment\"]\n    * \"special\\_conditions\": \"<Any special baggage conditions>\"\n  * \"checked\\_baggage\":\n\n    * \"general\\_rules\": \"<Baggage Rules>\"\n    * \"class\\_specific\\_limits\": \"<Limits for different travel classes>\"\n    * \"baggage\\_calculator\\_url\": \"<URL>\"\n    * \"oversized\\_special\\_baggage\": \"\\<Details on sports/music equipment>\"\n\n4. Refund & Cancellation Policy\n\n* \"refund\\_policy\":\n\n  * \"conditions\": \"<Refund conditions>\"\n  * \"processing\\_time\": \"<Processing Time>\"\n  * \"refund\\_policy\\_url\": \"<URL>\"\n* \"cancellation\\_policy\":\n\n  * \"conditions\": \"<Cancellation conditions>\"\n  * \"fees\\_or\\_penalties\": \"<Cancellation Fees>\"\n  * \"cancellation\\_policy\\_url\": \"<URL>\"\n\n5. Airport & Travel Guidelines\n\n* \"airport\\_travel\\_guidelines\":\n\n  * \"security\\_immigration\\_rules\": \"\\<Security & Immigration Rules>\"\n  * \"airport\\_checkin\\_requirements\": \"<Check-in document requirements>\"\n  * \"special\\_services\": \\[\"Priority Boarding\", \"Lounge Access\", \"Wheelchair Assistance\"]\n\n6. Frequently Asked Questions (FAQ)\n\n* \"faq\":\n\n  * \"faq\\_url\": \"<FAQ Page URL>\"\n  * \"questions\\_answers\": \\[\n    {\"question\": \"<Q1>\", \"answer\": \"<A1>\"},\n    {\"question\": \"<Q2>\", \"answer\": \"<A2>\"}\n    ]\n\n7. Additional Details\n\n* \"additional\\_info\": \"<Any extra info from the page not captured above>\"\n\n---\n\nOutput Rules Summary:\n\n* Always return valid JSON.\n* Do **not** include empty fields or structures (null, {}, or \\[]).\n* Place unrelated or extra info under \"additional\\_info\".\n\nUse this structure for every page, even if some values are missing. Just remove the missing fields completely in the output.\n\n\n"
                },
                {
                  "type": "AIMessagePromptTemplate",
                  "message": "=You are an intelligent parser trained to extract structured data from messy airline webpages.\n\nYour task is to extract and return well-structured airline check-in and policy details from raw text. Always return the result as a clean, valid JSON object using the exact schema described below.\n\n---\n\nExtraction Guidelines:\n\n* Ensure consistent JSON structure for every airline.\n* If a key has no value or content, **remove it** (do not return null, empty arrays, or empty objects).\n* Include any other useful data under `\"additional_info\"` if it doesn’t fit existing keys.\n* Always extract **direct URLs** wherever available.\n* Your output should be compact, valid, and readable JSON.\n\n---\n\nJSON Structure Format:\n\n1. Web Check-in Details\n\n* \"web\\_checkin\\_available\": true/false\n* \"checkin\\_url\": \"<URL>\"\n* \"checkin\\_methods\": \\[\"Online\", \"Mobile App\", \"Kiosk\", \"Airport Counter\"]\n* \"checkin\\_start\": \"<Start Time>\"\n* \"checkin\\_deadline\": \"<Deadline Time>\"\n* \"boarding\\_pass\\_options\":\n\n  * \"mobile\\_boarding\\_pass\\_available\": true/false\n  * \"printed\\_boarding\\_pass\\_required\": true/false\n  * \"additional\\_checkin\\_info\": \"<Extra instructions>\"\n\n2. Customer Support\n\n* \"customer\\_support\":\n\n  * \"phone\": \"<Phone Number>\"\n  * \"email\": \"<Email>\"\n  * \"support\\_url\": \"<Support URL>\"\n  * \"chat\\_url\": \"<Chat URL>\"\n  * \"operating\\_hours\": \"<Hours>\"\n  * \"additional\\_help\\_channels\": \\[\"WhatsApp\", \"Twitter Support\", \"Chatbot\"]\n\n3. Baggage Allowance\n\n* \"baggage\\_allowance\":\n\n  * \"hand\\_baggage\":\n\n    * \"weight\\_limit\": \"<Weight Limit>\"\n    * \"size\\_limit\": \"<Size Limit>\"\n    * \"additional\\_items\\_allowed\": \\[\"Handbag\", \"Laptop\", \"Baby Items\", \"Medical Equipment\"]\n    * \"special\\_conditions\": \"<Any special baggage conditions>\"\n  * \"checked\\_baggage\":\n\n    * \"general\\_rules\": \"<Baggage Rules>\"\n    * \"class\\_specific\\_limits\": \"<Limits for different travel classes>\"\n    * \"baggage\\_calculator\\_url\": \"<URL>\"\n    * \"oversized\\_special\\_baggage\": \"\\<Details on sports/music equipment>\"\n\n4. Refund & Cancellation Policy\n\n* \"refund\\_policy\":\n\n  * \"conditions\": \"<Refund conditions>\"\n  * \"processing\\_time\": \"<Processing Time>\"\n  * \"refund\\_policy\\_url\": \"<URL>\"\n* \"cancellation\\_policy\":\n\n  * \"conditions\": \"<Cancellation conditions>\"\n  * \"fees\\_or\\_penalties\": \"<Cancellation Fees>\"\n  * \"cancellation\\_policy\\_url\": \"<URL>\"\n\n5. Airport & Travel Guidelines\n\n* \"airport\\_travel\\_guidelines\":\n\n  * \"security\\_immigration\\_rules\": \"\\<Security & Immigration Rules>\"\n  * \"airport\\_checkin\\_requirements\": \"<Check-in document requirements>\"\n  * \"special\\_services\": \\[\"Priority Boarding\", \"Lounge Access\", \"Wheelchair Assistance\"]\n\n6. Frequently Asked Questions (FAQ)\n\n* \"faq\":\n\n  * \"faq\\_url\": \"<FAQ Page URL>\"\n  * \"questions\\_answers\": \\[\n    {\"question\": \"<Q1>\", \"answer\": \"<A1>\"},\n    {\"question\": \"<Q2>\", \"answer\": \"<A2>\"}\n    ]\n\n7. Additional Details\n\n* \"additional\\_info\": \"<Any extra info from the page not captured above>\"\n\n---\n\nOutput Rules Summary:\n\n* Always return valid JSON.\n* Do **not** include empty fields or structures (null, {}, or \\[]).\n* Place unrelated or extra info under \"additional\\_info\".\n\nUse this structure for every page, even if some values are missing. Just remove the missing fields completely in the output.\n\n\n"
                }
              ]
            },
            "promptType": "define"
          },
          "typeVersion": 1.5
        },
        {
          "id": "ba090b45-e6e8-434a-9577-51d281dd4a5b",
          "name": "Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
          "position": [
            308,
            220
          ],
          "parameters": {
            "options": {}
          },
          "credentials": {
            "ollamaApi": {
              "id": "credential-id",
              "name": "ollamaApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "d557adab-856e-460e-aa81-f929a66ca465",
          "name": "Wait for Response",
          "type": "n8n-nodes-base.wait",
          "position": [
            580,
            0
          ],
          "webhookId": "b29f8fd3-b6ff-43ee-878b-17de4b411f99",
          "parameters": {},
          "typeVersion": 1.1
        },
        {
          "id": "279b24fc-e1f3-4a1c-9c70-0177b13f32d8",
          "name": "Store Extracted Info\t",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            816,
            0
          ],
          "parameters": {
            "columns": {
              "value": {
                "row_number": "={{ $('Loop Over Items').item.json.row_number }}",
                "web check in details": "={{ $json.text.removeTags().replace(/^```json|```$/g, '').trim() }}"
              },
              "schema": [
                {
                  "id": "Airline",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Airline",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "WEB CHECK IN URL",
                  "type": "string",
                  "display": true,
                  "removed": true,
                  "required": false,
                  "displayName": "WEB CHECK IN URL",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "web check in details",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "web check in details",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "output",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "output",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "row_number",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": true,
                  "required": false,
                  "displayName": "row_number",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow",
              "matchingColumns": [
                "row_number"
              ],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "update",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": 2125635496,
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ws8YonQyc32SveWQdfihYOW_OzOS-2REIrwSYS37oQ8/edit#gid=2125635496",
              "cachedResultName": "Sheet1"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "1ws8YonQyc32SveWQdfihYOW_OzOS-2REIrwSYS37oQ8",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ws8YonQyc32SveWQdfihYOW_OzOS-2REIrwSYS37oQ8/edit?usp=drivesdk",
              "cachedResultName": "airline_faq_urls"
            },
            "authentication": "serviceAccount"
          },
          "credentials": {
            "googleApi": {
              "id": "credential-id",
              "name": "googleApi Credential"
            }
          },
          "typeVersion": 4.5
        },
        {
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          "name": "Generate Embeddings\t",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
          "position": [
            1036,
            220
          ],
          "parameters": {},
          "credentials": {
            "ollamaApi": {
              "id": "credential-id",
              "name": "ollamaApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "56553cae-a61f-4b64-8709-06dbab314bce",
          "name": "Prepare Text for Vector DB\t",
          "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
          "position": [
            1156,
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          ],
          "parameters": {
            "options": {}
          },
          "typeVersion": 1
        },
        {
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          "name": "Split Long Text\t",
          "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
          "position": [
            1244,
            420
          ],
          "parameters": {
            "chunkSize": 10000
          },
          "typeVersion": 1
        },
        {
          "id": "a670a7c1-af95-452d-92e5-a82d5be2d0a5",
          "name": "Save to Vector DB\t",
          "type": "@n8n/n8n-nodes-langchain.vectorStorePGVector",
          "position": [
            1052,
            0
          ],
          "parameters": {
            "mode": "insert",
            "options": {
              "collection": {
                "values": {
                  "useCollection": true
                }
              }
            }
          },
          "credentials": {
            "postgres": {
              "id": "credential-id",
              "name": "postgres Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "7c4941f0-4dff-49d0-ac9b-901a23987686",
          "name": "Wait Before Next Batch\t",
          "type": "n8n-nodes-base.wait",
          "position": [
            1532,
            175
          ],
          "webhookId": "43d5c764-27a7-4b37-b879-96ebd8c84fce",
          "parameters": {
            "amount": 15
          },
          "typeVersion": 1.1
        },
        {
          "id": "0fef87ce-bfc3-4edd-aff8-8e10a0e7489a",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -740,
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          ],
          "parameters": {
            "width": 660,
            "height": 860,
            "content": "\n\n### 📝 Web Check-in Details Extractor (LLM Prompt Guide)\n\n#### ✅ What is this?\n\nThis is a powerful AI prompt used inside the **\"Basic LLM Chain\"** node. It tells the AI how to **extract structured airline web check-in data** (like check-in time, baggage policy, cancellation rules) from messy airline webpages.\n\n#### 🎯 Why is it used?\n\nAirline websites often present data in unstructured formats. This LLM-based step:\n\n* Cleans the content scraped from airline URLs.\n* Extracts important travel-related info in a consistent JSON format.\n* Helps automate the enrichment of airline data stored in your Google Sheets and Vector DB.\n\n#### 🛠️ How to use it?\n\n1. **Input**: This node receives raw webpage content from the airline’s \"Web Check-in URL\".\n2. **Prompt**: It applies a fixed set of rules (in natural language) to guide the AI to convert the unstructured data into clean JSON.\n3. **Output**: The AI returns a **structured JSON** object with fields like:\n\n   * `checkin_url`\n   * `baggage_allowance`\n   * `refund_policy`\n   * `faq`\n   * `additional_info`\n4. The next nodes save this output to:\n\n   * Google Sheet (for visibility)\n   * PGVector (for semantic search)\n\n💡 **Pro Tip:** This works best when the HTML content is readable and includes useful labels like “Check-in”, “Cancellation”, “Support”, etc.\n\n\n"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "b785e5c9-19bf-42c0-8c99-1659b1c2509b",
      "connections": {
        "Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Extract Info with LLM\t",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Loop Over Items": {
          "main": [
            [],
            [
              {
                "node": "Scrape Airline Webpage\t",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Split Long Text\t": {
          "ai_textSplitter": [
            [
              {
                "node": "Prepare Text for Vector DB\t",
                "type": "ai_textSplitter",
                "index": 0
              }
            ]
          ]
        },
        "Wait for Response": {
          "main": [
            [
              {
                "node": "Store Extracted Info\t",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Save to Vector DB\t": {
          "main": [
            [
              {
                "node": "Wait Before Next Batch\t",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Fetch Airline URLs\t": {
          "main": [
            [
              {
                "node": "Loop Over Items",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Generate Embeddings\t": {
          "ai_embedding": [
            [
              {
                "node": "Save to Vector DB\t",
                "type": "ai_embedding",
                "index": 0
              }
            ]
          ]
        },
        "Chat Trigger - Start\t": {
          "main": [
            [
              {
                "node": "Fetch Airline URLs\t",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Store Extracted Info\t": {
          "main": [
            [
              {
                "node": "Save to Vector DB\t",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Extract Info with LLM\t": {
          "main": [
            [
              {
                "node": "Wait for Response",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Scrape Airline Webpage\t": {
          "main": [
            [
              {
                "node": "Extract Info with LLM\t",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Wait Before Next Batch\t": {
          "main": [
            [
              {
                "node": "Loop Over Items",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Prepare Text for Vector DB\t": {
          "ai_document": [
            [
              {
                "node": "Save to Vector DB\t",
                "type": "ai_document",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 14,
      "nodeTypes": {
        "n8n-nodes-base.wait": {
          "count": 2
        },
        "n8n-nodes-base.stickyNote": {
          "count": 1
        },
        "n8n-nodes-base.httpRequest": {
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        },
        "n8n-nodes-base.googleSheets": {
          "count": 2
        },
        "n8n-nodes-base.splitInBatches": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.chainLlm": {
          "count": 1
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            "name": "Langchain"
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              ],
              "Vector Stores": [
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              ]
            }
          }
        },
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