{
  "workflow": {
    "id": 3563,
    "name": "Build an AI powered phone agent 📞🤖 with Retell, Google Calendar and RAG",
    "views": 26363,
    "recentViews": 4,
    "totalViews": 26363,
    "createdAt": "2025-04-15T12:55:32.914Z",
    "description": "This Workflow simulates an AI-powered phone agent with [RetellAI](https://dashboard.retellai.com/?ref=davide) with two main functions:\n\n1. **📅 Appointment Booking** – It can schedule appointments directly into Google Calendar.  \n2. **🧠 RAG-based Information Retrieval** – It provides answers using a Retrieval-Augmented Generation (RAG) system. For example, it can respond to questions such as store opening hours, return policies, or product details.\n\nThe guide also explains **how to purchase a dedicated phone number** (with a +1 prefix) and link it to the AI agent. This setup is cost-effective, as it uses a **FREE $10 credit** to operate without additional charges in the beginning.\n\n![](https://i.postimg.cc/brtBkgfH/Retellai-flow.png)\n\n---\n\n### **✨ Advantages**\n\n- **🕐 24/7 Availability** – The AI agent can answer calls and assist customers at any time.  \n- **🤖 Automation** – It reduces the workload on human staff by handling repetitive tasks like appointment scheduling and FAQ responses.  \n- **🔌 Easy Integration** – Built with n8n, it’s flexible and customizable for various platforms and tools.  \n- **💸 Low-cost Setup** – Using the free credit, businesses can get started without an upfront investment.\n\n---\n\n### **📦 Use Cases**\n\n- **🛍 E-commerce** – Answer common product questions or order inquiries.  \n- **🏬 Retail Stores** – Provide store hours, address info, and return policies.  \n- **🍽 Restaurants** – Take reservations or share menu information.  \n- **💼 Service Providers** – Book appointments or consultations.  \n- **📞 Any Local Business** – Offer phone support without needing a live operator.\n\n---\n\n### **How It Works**  \nThis Workflow simulates an AI-powered phone agent with two primary functions:  \n\n1. **Appointment Booking**  \n   - The workflow captures call events (e.g., `call_ended` or `call_analyzed`) and extracts key details (transcript, caller info, duration, etc.).  \n   - Using OpenAI, it summarizes the conversation and parses structured data (e.g., names, contact info, dates).  \n   - For scheduling, it converts user-provided dates into Google Calendar-compatible formats and creates events automatically.  \n\n2. **RAG-Based Information Retrieval**  \n   - When a query is received (e.g., store hours, product details), the workflow retrieves relevant information from a Qdrant vector store.  \n   - An AI agent processes the query using the retrieved data and responds via a webhook, ensuring accurate, context-aware answers.   \n\n---  \n\n### **Set Up Steps**  \n1. **Prepare Qdrant Vector Store**  \n   - Create/refresh a Qdrant collection (via HTTP requests).  \n   - Upload and vectorize documents (e.g., from Google Drive) using OpenAI embeddings.  \n\n2. **Configure RetellAI Agent**  \n   - Sign up for [RetellAI](https://dashboard.retellai.com/?ref=davide), create an agent, and set the webhook URLs (`n8n_call` for call events, `n8n_rag_function` for RAG queries).  \n   - Purchase a Twilio phone number and link it to the agent.  \n\n3. **n8n Workflow Setup**  \n   - Connect OpenAI, Qdrant, Google Calendar, and Telegram nodes with credentials.  \n   - Customize prompts for summarization, date parsing, and RAG responses.  \n   - Test the workflow to ensure data flows from call events → processing → actions (e.g., calendar bookings, Telegram alerts).  \n\n4. **Deploy**  \n   - Trigger the workflow via RetellAI webhooks during calls.  \n   - Monitor outputs (e.g., call summaries in Telegram, calendar events).  \n\n**Note**: Replace placeholders (e.g., `QDRANTURL`, `COLLECTION`, `CHAT_ID`) with actual values. \n\n---\n\n\n### **Need help customizing?**  \n[Contact me](mailto:info@n3w.it) for consulting and support or add me on [Linkedin](https://www.linkedin.com/in/davideboizza/). ",
    "workflow": {
      "id": "29P4X9mTSmplnjlJ",
      "meta": {
        "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
        "templateCredsSetupCompleted": true
      },
      "name": "AI Phone Agent with RetellAI",
      "tags": [],
      "nodes": [
        {
          "id": "55ef0229-0c33-4821-926d-9aabf4f6c812",
          "name": "Filter",
          "type": "n8n-nodes-base.filter",
          "position": [
            -100,
            120
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "or",
              "conditions": [
                {
                  "id": "cce162e9-50f7-41dc-ae45-763a53a835af",
                  "operator": {
                    "name": "filter.operator.equals",
                    "type": "string",
                    "operation": "equals"
                  },
                  "leftValue": "={{ $json.body.event }}",
                  "rightValue": "call_ended"
                },
                {
                  "id": "b0cec556-f565-4ade-90c9-1cfd74ed238b",
                  "operator": {
                    "name": "filter.operator.equals",
                    "type": "string",
                    "operation": "equals"
                  },
                  "leftValue": "={{ $json.body.event }}",
                  "rightValue": "call_analyzed"
                }
              ]
            }
          },
          "typeVersion": 2.2
        },
        {
          "id": "1873c991-0ac0-40c4-b027-e48a9f2582c6",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            320,
            320
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "d05a7ec8-2b27-474b-b618-f85da8cf0780",
          "name": "Structured Output Parser",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            640,
            300
          ],
          "parameters": {
            "schemaType": "manual",
            "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"first_name\": {\n\t\t\t\"type\": \"string\",\n            \"description\":\"\"\n\t\t},\n\t\t\"last_name\": {\n\t\t\t\"type\": \"string\",\n            \"description\":\"\"\n\t\t},\n        \"email\": {\n\t\t\t\"type\": \"string\",\n            \"description\":\"\"\n\t\t},\n        \"telephone\": {\n\t\t\t\"type\": \"string\",\n            \"description\":\"\"\n\t\t},\n        \"summary\": {\n\t\t\t\"type\": \"string\",\n            \"description\":\"\"\n\t\t},\n        \"date\": {\n\t\t\t\"type\": \"date\",\n            \"description\":\"\"\n\t\t},\n        \"date\": {\n\t\t\t\"type\": \"date\",\n            \"description\":\"\"\n\t\t},\n        \"dateTime\": {\n\t\t\t\"type\": \"date\",\n            \"description\":\"\"\n        }\n\t}\n}"
          },
          "typeVersion": 1.2
        },
        {
          "id": "aef9edfc-ff3b-42b6-9839-562a5376135d",
          "name": "n8n_rag_function",
          "type": "n8n-nodes-base.webhook",
          "position": [
            -360,
            720
          ],
          "webhookId": "edb1e894-1210-4902-a34f-a014bbdad8d8",
          "parameters": {
            "path": "edb1e894-1210-4902-a34f-a014bbdad8d8",
            "options": {},
            "httpMethod": "POST",
            "responseMode": "responseNode"
          },
          "typeVersion": 2
        },
        {
          "id": "247567b1-b45c-433f-86f8-43cfe210a532",
          "name": "Retrive Qdrant Vector Store",
          "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
          "position": [
            20,
            1140
          ],
          "parameters": {
            "options": {},
            "qdrantCollection": {
              "__rl": true,
              "mode": "list",
              "value": "scarperia",
              "cachedResultName": "scarperia"
            }
          },
          "credentials": {
            "qdrantApi": {
              "id": "credential-id",
              "name": "qdrantApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "c8153076-8ae2-4b34-893d-ef75233c2a74",
          "name": "Embeddings OpenAI2",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
            -20,
            1320
          ],
          "parameters": {
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "0acec55e-cb6a-4220-a491-aa29eccc692a",
          "name": "RAG",
          "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
          "position": [
            180,
            940
          ],
          "parameters": {
            "name": "company_data",
            "description": "Retrive data about company knowledge from vector store"
          },
          "typeVersion": 1
        },
        {
          "id": "b7a86b9f-1620-4fc7-973f-e6e169e4ecbe",
          "name": "OpenAI Chat Model2",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -20,
            940
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "64354f1c-388d-47b7-be4e-a67a6feeb0ed",
          "name": "Respond to Webhook",
          "type": "n8n-nodes-base.respondToWebhook",
          "position": [
            620,
            720
          ],
          "parameters": {
            "options": {}
          },
          "typeVersion": 1.1
        },
        {
          "id": "baa32a03-3295-434a-afca-8f7cadece512",
          "name": "OpenAI Chat Model1",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            340,
            1160
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "1d5c9eb2-b468-4dd2-aa77-d33924fdbb41",
          "name": "Telegram",
          "type": "n8n-nodes-base.telegram",
          "position": [
            820,
            120
          ],
          "webhookId": "44d73068-54dc-458b-a6fb-4b4d10ebed34",
          "parameters": {
            "text": "=Call summary:\n{{ $json.output.summary }}\n\nFirst name: {{ $json.output.first_name }}\nLast name: {{ $json.output.last_name }}\nEmail: {{ $json.output.email }}\nTelephone: {{ $json.output.telephone }}\nSummary: {{ $json.output.summary }}\nDate: {{ $json.output.date }}\nDateTiem: {{ $json.output.dateTime }}",
            "chatId": "CHAT_ID",
            "additionalFields": {}
          },
          "credentials": {
            "telegramApi": {
              "id": "credential-id",
              "name": "telegramApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "5ca696a0-b1d2-45f5-93d6-066654a0c2f6",
          "name": "Google Calendar",
          "type": "n8n-nodes-base.googleCalendar",
          "position": [
            1860,
            100
          ],
          "parameters": {
            "end": "={{ $json.output.end }}",
            "start": "={{ $json.output.start }}",
            "calendar": {
              "__rl": true,
              "mode": "list",
              "value": "user@example.com",
              "cachedResultName": "user@example.com"
            },
            "additionalFields": {
              "summary": "Event title",
              "description": "Event description"
            }
          },
          "credentials": {
            "googleCalendarOAuth2Api": {
              "id": "credential-id",
              "name": "googleCalendarOAuth2Api Credential"
            }
          },
          "typeVersion": 1.3
        },
        {
          "id": "57fedd6a-94a4-4f58-8179-9fd8ae1d0006",
          "name": "OpenAI Chat Model3",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            1340,
            320
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "f3f8a781-eb03-4e99-8512-b926249aabba",
          "name": "Structured Output Parser1",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            1640,
            320
          ],
          "parameters": {
            "schemaType": "manual",
            "inputSchema": "{\n\t\"type\": \"object\",\n\t\"properties\": {\n\t\t\"start\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n\t\t\"end\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
          },
          "typeVersion": 1.2
        },
        {
          "id": "f3c416a2-6b42-43cc-aa66-e7d146c1b325",
          "name": "n8n_call",
          "type": "n8n-nodes-base.webhook",
          "position": [
            -340,
            120
          ],
          "webhookId": "b352dd49-d3b3-4e0a-a781-17137f7199c8",
          "parameters": {
            "path": "b352dd49-d3b3-4e0a-a781-17137f7199c8",
            "options": {},
            "httpMethod": "POST"
          },
          "typeVersion": 2
        },
        {
          "id": "2862b10c-77d7-4555-b9ec-86c9c4b9fe7b",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1080,
            -1140
          ],
          "parameters": {
            "width": 1140,
            "height": 920,
            "content": "# STEP 3 - RETELL AI\n\n- Register on [Retell AI](https://dashboard.retellai.com/?ref=davide) (10$ FREE credits)\n- Create an Agent an set \"Voice & Language\" and add your system prompt\n- In Webhook settings add the \"Agent Level Webhook URL\" with the n8n webhook node url called \"n8n_call\"\n- Buy a new phone number with your FREE credits by Twilio Provider and connect it to the created agent\n- Enter the previously created agency and create the flow as shown in the following image\n![image](https://i.postimg.cc/brtBkgfH/Retellai-flow.png)\n- Aggiungere 2 funzioni (una per RAG e una per il Booking) e inserire l'url apposito ricavato dai webhook di n8n \"n8n_rag_function\" e \"n8n_check_available\"\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "98de797e-56d8-42b4-85a5-245ae7d086db",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -340,
            -100
          ],
          "parameters": {
            "color": 5,
            "width": 1220,
            "content": "# STEP 4\nIntercept the \"end call\" event and get the full call transcript\n- Add your CHAT_ID in Telegram node"
          },
          "typeVersion": 1
        },
        {
          "id": "ccf11ce4-3bc4-46bd-a71e-12e59d7a2504",
          "name": "n8n_check_available",
          "type": "n8n-nodes-base.webhook",
          "position": [
            1120,
            100
          ],
          "webhookId": "4dcd68b1-91d3-40bc-8aa6-c681126752b2",
          "parameters": {
            "path": "4dcd68b1-91d3-40bc-8aa6-c681126752b2",
            "options": {},
            "httpMethod": "POST",
            "responseMode": "lastNode"
          },
          "typeVersion": 2
        },
        {
          "id": "ddc50779-c0cf-4862-87b9-e187d1ab19a5",
          "name": "When clicking ‘Test workflow’",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            -400,
            -940
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "fd6f36d4-c8b3-4643-8df9-a775d94946d9",
          "name": "Qdrant Vector Store",
          "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
          "position": [
            580,
            -820
          ],
          "parameters": {
            "mode": "insert",
            "options": {},
            "qdrantCollection": {
              "__rl": true,
              "mode": "id",
              "value": "="
            }
          },
          "credentials": {
            "qdrantApi": {
              "id": "credential-id",
              "name": "qdrantApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "3c4f9805-57e7-4662-ab12-8bedc5e5a815",
          "name": "Create collection",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -100,
            -1080
          ],
          "parameters": {
            "url": "https://QDRANTURL/collections/COLLECTION",
            "method": "POST",
            "options": {},
            "jsonBody": "{\n  \"filter\": {}\n}",
            "sendBody": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "authentication": "genericCredentialType",
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "b5fdbd4d-0cc9-4b5c-8aa8-b7fe6fd0f3b4",
          "name": "Refresh collection",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -100,
            -820
          ],
          "parameters": {
            "url": "https:/YOUR_AWS_SECRET_KEY_HERE/delete",
            "method": "POST",
            "options": {},
            "jsonBody": "{\n  \"filter\": {}\n}",
            "sendBody": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "authentication": "genericCredentialType",
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "c2f5ded2-adcb-4c50-95e6-94e54a7c2116",
          "name": "Get folder",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            120,
            -820
          ],
          "parameters": {
            "filter": {
              "driveId": {
                "__rl": true,
                "mode": "list",
                "value": "My Drive",
                "cachedResultUrl": "https://drive.google.com/drive/my-drive",
                "cachedResultName": "My Drive"
              },
              "folderId": {
                "__rl": true,
                "mode": "id",
                "value": "=test-whatsapp"
              }
            },
            "options": {},
            "resource": "fileFolder"
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 3
        },
        {
          "id": "640ede03-46fc-44a3-a9e8-29118036d64f",
          "name": "Download Files",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            340,
            -820
          ],
          "parameters": {
            "fileId": {
              "__rl": true,
              "mode": "id",
              "value": "={{ $json.id }}"
            },
            "options": {
              "googleFileConversion": {
                "conversion": {
                  "docsToFormat": "text/plain"
                }
              }
            },
            "operation": "download"
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 3
        },
        {
          "id": "ff40b36c-3092-43fc-a001-9683b0e33460",
          "name": "Embeddings OpenAI",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
            560,
            -620
          ],
          "parameters": {
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.1
        },
        {
          "id": "cfc6a14a-1445-4d38-8fbb-3dc3c7bfff8b",
          "name": "Default Data Loader",
          "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
          "position": [
            740,
            -620
          ],
          "parameters": {
            "options": {},
            "dataType": "binary"
          },
          "typeVersion": 1
        },
        {
          "id": "38a49484-82f0-4520-ba03-47edef117cd8",
          "name": "Token Splitter",
          "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
          "position": [
            700,
            -460
          ],
          "parameters": {
            "chunkSize": 300,
            "chunkOverlap": 30
          },
          "typeVersion": 1
        },
        {
          "id": "62726443-9c09-4ee7-becb-789982bc2e9b",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            100,
            -1140
          ],
          "parameters": {
            "color": 6,
            "width": 880,
            "height": 220,
            "content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
          },
          "typeVersion": 1
        },
        {
          "id": "5f52d12f-6bbe-468c-b23f-356e0675b15a",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -120,
            -880
          ],
          "parameters": {
            "color": 4,
            "width": 620,
            "height": 400,
            "content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
          },
          "typeVersion": 1
        },
        {
          "id": "08525507-990d-43f3-b2d3-6d73bc2aed84",
          "name": "Set call fields",
          "type": "n8n-nodes-base.set",
          "position": [
            140,
            120
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "15b079b9-e36d-4c9b-8ca4-30bf858ce75b",
                  "name": "Transcript",
                  "type": "string",
                  "value": "={{ $json.body.call.transcript }}"
                },
                {
                  "id": "f1cbced3-bd9c-4d8f-bd81-060406ff27b0",
                  "name": "Duration (sec)",
                  "type": "string",
                  "value": "={{ $('n8n_call').item.json.body.call.call_cost.total_duration_seconds }}"
                },
                {
                  "id": "829ee367-1f5e-4d66-9818-8a27344d7e79",
                  "name": "From",
                  "type": "string",
                  "value": "={{ $('n8n_call').item.json.body.call.from_number }}"
                },
                {
                  "id": "38e9e856-d87d-4c23-8486-4ebbac2da595",
                  "name": "To",
                  "type": "string",
                  "value": "={{ $('n8n_call').item.json.body.call.to_number }}"
                },
                {
                  "id": "4209d6d3-4881-4296-a1db-fff0c14addda",
                  "name": "Cost ",
                  "type": "string",
                  "value": "={{ $('n8n_call').item.json.body.call.call_cost.combined_cost }}"
                },
                {
                  "id": "3c871d3b-95b5-493a-b3fe-3c9bf06a0d62",
                  "name": "Telephony Identifier",
                  "type": "string",
                  "value": "={{ $('n8n_call').item.json.body.call.telephony_identifier.twilio_call_sid }}"
                },
                {
                  "id": "0a926748-8aff-4dd7-a252-516f3339210a",
                  "name": "Disconnection reason",
                  "type": "string",
                  "value": "={{ $json.body.call.disconnection_reason }}"
                },
                {
                  "id": "9c88eafc-4370-47ad-ad98-d14767c137d0",
                  "name": "Recording url",
                  "type": "string",
                  "value": "={{ $json.body.call.recording_url }}"
                },
                {
                  "id": "a737a3bd-c871-4273-85b8-8e423bf7c443",
                  "name": "Public log url",
                  "type": "string",
                  "value": "={{ $json.body.call.public_log_url }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "db21e42c-ff87-45ad-a228-77ce4c9c6b0c",
          "name": "Extract key points",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
            400,
            120
          ],
          "parameters": {
            "text": "=To: {{ $json.To }}\n\nComplete transcript:\n{{ $json.Transcript }} ",
            "messages": {
              "messageValues": [
                {
                  "message": "=You are a specialized AI assistant responsible for analyzing complete voice conversation transcripts. Your task is to create concise summaries that extract the essential information from these conversations.\n\nInput: You will receive the complete transcript of a voice conversation between two or more participants.\n\nTask:\n1. Analyze the entire conversation transcript carefully.\n2. Identify and extract the most important key points discussed.\n3. Create a clear, structured summary that captures the essential information.\n4. Highlight any decisions made, action items agreed upon, or critical information shared.\n5. Maintain objectivity in your summary, avoiding interpretation or judgment.\n\nOutput format:\n- Begin with a brief overview of the conversation (1-2 sentences)\n- List the key points in bullet format\n- Include a separate \"Action Items\" section if any tasks or follow-ups were mentioned\n- Keep your summary concise while ensuring all important information is captured\n\nRemember that accuracy is paramount. Focus on extracting what was explicitly stated rather than inferring unstated meanings. If something is unclear in the transcript, note it as such rather than guessing."
                }
              ]
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 1.6
        },
        {
          "id": "0c6c8765-d28f-4398-aa0e-8f65879cc740",
          "name": "Concert start date",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
            1420,
            100
          ],
          "parameters": {
            "text": "=Convert this date to a compatible format for Google Calendar APIs for the start date, and for the end date add 1 hour to the start date.\n\nHere is the start date:\n{{ $json.body.args.date }}",
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 1.6
        },
        {
          "id": "0b33c34a-f61c-4aab-8315-600da2da3281",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1100,
            -100
          ],
          "parameters": {
            "color": 5,
            "width": 1100,
            "content": "# STEP 5\nIf required, create the event in the calendar\n- Enter the title and description of the event"
          },
          "typeVersion": 1
        },
        {
          "id": "138555e5-b62b-4f59-b223-c73611e5dece",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -360,
            520
          ],
          "parameters": {
            "color": 5,
            "width": 1220,
            "content": "# STEP 6\nIf required retrive the informations by RAG system"
          },
          "typeVersion": 1
        },
        {
          "id": "65d998a1-b31b-4463-be9b-0b27448f9026",
          "name": "Retrive Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            60,
            720
          ],
          "parameters": {
            "text": "={{ $json.body.args.query }}",
            "agent": "conversationalAgent",
            "options": {
              "systemMessage": "You are an AI-powered assistant for an electronics store. Answer in Italian. Your primary goal is to assist customers by providing accurate and helpful information about products, troubleshooting tips, and general support. Use the provided knowledge base (retrieved documents) to answer questions with precision and professionalism.\n\n**Guidelines**:\n1. **Product Information**:\n   - Provide detailed descriptions of products, including specifications, features, and compatibility.\n   - Highlight key selling points and differences between similar products.\n   - Mention availability, pricing, and promotions if applicable.\n\n2. **Technical Support**:\n   - Offer step-by-step troubleshooting guides for common issues.\n   - Suggest solutions for setup, installation, or configuration problems.\n   - If the issue is complex, recommend contacting the store’s support team for further assistance.\n\n3. **Customer Service**:\n   - Respond politely and professionally to all inquiries.\n   - If a question is unclear, ask for clarification to provide the best possible answer.\n   - For order-related questions (e.g., status, returns, or cancellations), guide customers on how to proceed using the store’s systems.\n\n4. **Knowledge Base Usage**:\n   - Always reference the provided knowledge base (retrieved documents) to ensure accuracy.\n   - If the knowledge base does not contain relevant information, inform the customer and suggest alternative resources or actions.\n\n5. **Tone and Style**:\n   - Use a friendly, approachable, and professional tone.\n   - Avoid technical jargon unless the customer demonstrates familiarity with the topic.\n   - Keep responses concise but informative.\n\n**Example Interactions**:\n1. **Product Inquiry**:\n   - Customer: \"What’s the difference between the XYZ Smartwatch and the ABC Smartwatch?\"\n   - AI: \"The XYZ Smartwatch features a longer battery life (up to 7 days) and built-in GPS, while the ABC Smartwatch has a brighter AMOLED display and supports wireless charging. Both are compatible with iOS and Android devices. Would you like more details on either product?\"\n\n2. **Technical Support**:\n   - Customer: \"My wireless router isn’t connecting to the internet.\"\n   - AI: \"Please try the following steps: 1) Restart your router and modem. 2) Ensure all cables are securely connected. 3) Check if the router’s LED indicators show a stable connection. If the issue persists, you may need to reset the router to factory settings. Would you like a detailed guide for resetting your router?\"\n\n3. **Customer Service**:\n   - Customer: \"How do I return a defective product?\"\n   - AI: \"To return a defective product, please visit our Returns Portal on our website and enter your order number. You’ll receive a return label and instructions. If you need further assistance, our support team is available at user@example.com.\"\n\n**Limitations**:\n- If the question is outside the scope of the knowledge base or requires human intervention, inform the customer and provide contact details for the appropriate department.\n- Do not provide speculative or unverified information. Always rely on the knowledge base or direct the customer to official resources."
            },
            "promptType": "define"
          },
          "typeVersion": 1.7
        },
        {
          "id": "a98a4ed7-4ebc-4d40-8aaa-70de751bc15f",
          "name": "Sticky Note6",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -380,
            -1600
          ],
          "parameters": {
            "color": 3,
            "width": 2580,
            "height": 360,
            "content": "# Create your first AI Phone Agent\n\nBuild, test, deploy, and monitor AI phone agents. Retell is a comprehensive platform for building, testing, deploying, and monitoring reliable AI phone agents.\nConversation flow agent allows you to create multiple nodes to handle different scenarios in the conversation. It provides more fine-grained control over the conversation flow compared to single / multi prompt agent, which unlocks the ability to handle more complex scenarios.\n\nThis Workflow simulates an AI-powered phone agent with two main functions:\n\n📅 Appointment Booking – It can schedule appointments directly into Google Calendar.\n\n🧠 RAG-based Information Retrieval – It provides answers using a Retrieval-Augmented Generation (RAG) system. For example, it can respond to questions such as store opening hours, return policies, or product details.\n\nThe guide also explains how to purchase a dedicated phone number (with a +1 prefix) and link it to the AI agent. This setup is cost-effective, as it uses a free $10 credit to operate without additional charges in the beginning."
          },
          "typeVersion": 1
        }
      ],
      "active": true,
      "pinData": {},
      "settings": {
        "timezone": "Europe/Rome",
        "callerPolicy": "workflowsFromSameOwner",
        "executionOrder": "v1"
      },
      "versionId": "d78ac941-900b-49f5-a9a8-158effbd2479",
      "connections": {
        "RAG": {
          "ai_tool": [
            [
              {
                "node": "Retrive Agent",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "Filter": {
          "main": [
            [
              {
                "node": "Set call fields",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "n8n_call": {
          "main": [
            [
              {
                "node": "Filter",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Get folder": {
          "main": [
            [
              {
                "node": "Download Files",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Retrive Agent": {
          "main": [
            [
              {
                "node": "Respond to Webhook",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Download Files": {
          "main": [
            [
              {
                "node": "Qdrant Vector Store",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Token Splitter": {
          "ai_textSplitter": [
            [
              {
                "node": "Default Data Loader",
                "type": "ai_textSplitter",
                "index": 0
              }
            ]
          ]
        },
        "Google Calendar": {
          "main": [
            []
          ]
        },
        "Set call fields": {
          "main": [
            [
              {
                "node": "Extract key points",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "n8n_rag_function": {
          "main": [
            [
              {
                "node": "Retrive Agent",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Embeddings OpenAI": {
          "ai_embedding": [
            [
              {
                "node": "Qdrant Vector Store",
                "type": "ai_embedding",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Extract key points",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Concert start date": {
          "main": [
            [
              {
                "node": "Google Calendar",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Embeddings OpenAI2": {
          "ai_embedding": [
            [
              {
                "node": "Retrive Qdrant Vector Store",
                "type": "ai_embedding",
                "index": 0
              }
            ]
          ]
        },
        "Extract key points": {
          "main": [
            [
              {
                "node": "Telegram",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model1": {
          "ai_languageModel": [
            [
              {
                "node": "RAG",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model2": {
          "ai_languageModel": [
            [
              {
                "node": "Retrive Agent",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model3": {
          "ai_languageModel": [
            [
              {
                "node": "Concert start date",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Refresh collection": {
          "main": [
            [
              {
                "node": "Get folder",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Default Data Loader": {
          "ai_document": [
            [
              {
                "node": "Qdrant Vector Store",
                "type": "ai_document",
                "index": 0
              }
            ]
          ]
        },
        "n8n_check_available": {
          "main": [
            [
              {
                "node": "Concert start date",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Structured Output Parser": {
          "ai_outputParser": [
            [
              {
                "node": "Extract key points",
                "type": "ai_outputParser",
                "index": 0
              }
            ]
          ]
        },
        "Structured Output Parser1": {
          "ai_outputParser": [
            [
              {
                "node": "Concert start date",
                "type": "ai_outputParser",
                "index": 0
              }
            ]
          ]
        },
        "Retrive Qdrant Vector Store": {
          "ai_vectorStore": [
            [
              {
                "node": "RAG",
                "type": "ai_vectorStore",
                "index": 0
              }
            ]
          ]
        },
        "When clicking ‘Test workflow’": {
          "main": [
            [
              {
                "node": "Create collection",
                "type": "main",
                "index": 0
              },
              {
                "node": "Refresh collection",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 36,
      "nodeTypes": {
        "n8n-nodes-base.set": {
          "count": 1
        },
        "n8n-nodes-base.filter": {
          "count": 1
        },
        "n8n-nodes-base.webhook": {
          "count": 3
        },
        "n8n-nodes-base.telegram": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 7
        },
        "n8n-nodes-base.googleDrive": {
          "count": 2
        },
        "n8n-nodes-base.httpRequest": {
          "count": 2
        },
        "n8n-nodes-base.manualTrigger": {
          "count": 1
        },
        "n8n-nodes-base.googleCalendar": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.agent": {
          "count": 1
        },
        "n8n-nodes-base.respondToWebhook": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.chainLlm": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.lmChatOpenAi": {
          "count": 4
        },
        "@n8n/n8n-nodes-langchain.toolVectorStore": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.embeddingsOpenAi": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.vectorStoreQdrant": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.outputParserStructured": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.documentDefaultDataLoader": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "Davide",
      "username": "n3witalia",
      "bio": "Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza",
      "verified": true,
      "links": [
        "https://n3w.it"
      ],
      "avatar": "https://gravatar.com/avatar/d41b8a0aa81139243509c58870f5b4be292824a507ab57d10ed066d8628ed8da?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 19,
        "icon": "file:httprequest.svg",
        "name": "n8n-nodes-base.httpRequest",
        "codex": {
          "data": {
            "alias": [
              "API",
              "Request",
              "URL",
              "Build",
              "cURL"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/",
                  "icon": "📈",
                  "label": "Automatically pulling and visualizing data with n8n"
                },
                {
                  "url": "https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/",
                  "icon": "✍️",
                  "label": "Learn how to automatically cross-post your content with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "🧾",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/",
                  "icon": "🛳",
                  "label": "Running n8n on ships: An interview with Maranics"
                },
                {
                  "url": "https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/",
                  "icon": " 🪢",
                  "label": "What are APIs and how to use them with no code"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/world-poetry-day-workflow/",
                  "icon": "📜",
                  "label": "Celebrating World Poetry Day with a daily poem in Telegram"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/",
                  "icon": "🎨",
                  "label": "Automate Designs with Bannerbear and n8n"
                },
                {
                  "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
                  "icon": " 🕸️",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
                  "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/",
                  "icon": "📱",
                  "label": "Building an expense tracking app in 10 minutes"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "🤖",
                  "label": "5 workflow automations for Mattermost that we love at n8n"
                },
                {
                  "url": "https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/",
                  "icon": "🧰",
                  "label": "How to use the HTTP Request Node - The Swiss Army Knife for Workflow Automation"
                },
                {
                  "url": "https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/",
                  "icon": "🦄",
                  "label": "Learn how to use webhooks with Mattermost slash commands"
                },
                {
                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
                  "icon": "📈",
                  "label": "How a Membership Development Manager automates his work and investments"
                },
                {
                  "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/",
                  "icon": "📈",
                  "label": "A low-code bitcoin ticker built with QuestDB and n8n.io"
                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/automations-for-activists/",
                  "icon": "✨",
                  "label": "How Common Knowledge use workflow automation for activism"
                },
                {
                  "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
                  "icon": "🤟",
                  "label": "Creating scheduled text affirmations with n8n"
                },
                {
                  "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
                  "icon": "🛵",
                  "label": "How Goomer automated their operations with over 200 n8n workflows"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "HTTP Request",
          "color": "#0004F5"
        },
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          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Telegram",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 58,
        "icon": "file:googleDrive.svg",
        "name": "n8n-nodes-base.googleDrive",
        "codex": {
          "data": {
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
                  "label": "Hey founders! Your business doesn't need you to operate"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "🧠",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googledrive/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Data & Storage"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Google Drive"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Google Drive",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 3,
            "name": "Data & Storage"
          }
        ]
      },
      {
        "id": 317,
        "icon": "file:googleCalendar.svg",
        "name": "n8n-nodes-base.googleCalendar",
        "codex": {
          "data": {
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/how-to-host-virtual-coffee-breaks-with-n8n/",
                  "icon": "☕️",
                  "label": "How to host virtual coffee breaks with n8n"
                },
                {
                  "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/",
                  "icon": "🎫",
                  "label": "Supercharging your conference registration process with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
                  "label": "Hey founders! Your business doesn't need you to operate"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "🤖",
                  "label": "5 workflow automation for Mattermost that we love at n8n"
                },
                {
                  "url": "https://n8n.io/blog/tracking-time-spent-in-meetings-with-google-calendar-twilio-and-n8n/",
                  "icon": "🗓",
                  "label": "Tracking Time Spent in Meetings With Google Calendar, Twilio, and n8n"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlecalendar/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Productivity"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Google Calendar"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Google Calendar",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 4,
            "name": "Productivity"
          }
        ]
      },
      {
        "id": 535,
        "icon": "file:webhook.svg",
        "name": "n8n-nodes-base.respondToWebhook",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.respondtowebhook/"
                }
              ]
            },
            "categories": [
              "Core Nodes",
              "Utility"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Respond to Webhook"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Respond to Webhook",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 7,
            "name": "Utility"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 838,
        "icon": "fa:mouse-pointer",
        "name": "n8n-nodes-base.manualTrigger",
        "codex": {
          "data": {
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When clicking ‘Execute workflow’",
          "color": "#909298"
        },
        "iconData": {
          "icon": "mouse-pointer",
          "type": "icon"
        },
        "displayName": "Manual Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 844,
        "icon": "fa:filter",
        "name": "n8n-nodes-base.filter",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The Filter node can be used to filter items based on a condition. If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Filter",
          "color": "#229eff"
        },
        "iconData": {
          "icon": "filter",
          "type": "icon"
        },
        "displayName": "Filter",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1123,
        "icon": "fa:link",
        "name": "@n8n/n8n-nodes-langchain.chainLlm",
        "codex": {
          "data": {
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                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
                }
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            },
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              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Chains",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
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          "name": "Basic LLM Chain",
          "color": "#909298"
        },
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          "type": "icon"
        },
        "displayName": "Basic LLM Chain",
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            "name": "Langchain"
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        "icon": "file:openAiLight.svg",
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                "Root Nodes"
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              "Language Models": [
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            "name": "AI"
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            "id": 26,
            "name": "Langchain"
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        "icon": "fa:code",
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          "type": "icon"
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            "name": "AI"
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            "id": 26,
            "name": "Langchain"
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                "Root Nodes"
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              "Tools": [
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              "Vector Stores": [
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          }
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        "icon": "fa:database",
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              ],
              "Tools": [
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              ]
            }
          }
        },
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        },
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    ],
    "categories": [
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        "name": "AI Chatbot"
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    "image": []
  }
}