Workflow: Webhook Respondtowebhook Send

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{
    "meta": {
        "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
        "templateCredsSetupCompleted": true
    },
    "nodes": [
        {
            "id": "01730710-e299-4e66-93e9-6079fdf9b8b7",
            "name": "Sticky Note1",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                2120,
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            ],
            "parameters": {
                "color": 6,
                "width": 903.0896125323785099681117571890354156494140625,
                "height": 733.509967058401116446475498378276824951171875,
                "content": "## Step 2: Setup the Q&A \n### The incoming message from the webhook is queried from the Supabase Vector Store.  The response is provided in the response webhook.  "
            },
            "typeVersion": 1
        },
        {
            "id": "66aed89e-fd72-4067-82bf-d480be27e5d6",
            "name": "When clicking \"Execute Workflow\"",
            "type": "n8n-nodes-base.manualTrigger",
            "position": [
                840,
                140
            ],
            "parameters": [],
            "typeVersion": 1
        },
        {
            "id": "9dc8f2a7-eeff-4a35-be52-05c42b71eee4",
            "name": "Google Drive",
            "type": "n8n-nodes-base.googleDrive",
            "position": [
                1140,
                140
            ],
            "parameters": {
                "fileId": {
                    "__rl": true,
                    "mode": "list",
                    "value": "1LZezppYrWpMStr4qJXtoIX-Dwzvgehll",
                    "cachedResultUrl": "https:\/\/drive.google.com\/file\/d\/1LZezppYrWpMStr4qJXtoIX-Dwzvgehll\/view?usp=drivesdk",
                    "cachedResultName": "crowdstrike.pdf"
                },
                "options": [],
                "operation": "download"
            },
            "credentials": {
                "googleDriveOAuth2Api": {
                    "id": "yOwz41gMQclOadgu",
                    "name": "Google Drive account"
                }
            },
            "typeVersion": 3
        },
        {
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            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
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                "width": 772.0680602743597091830451972782611846923828125,
                "height": 732.36750021307807401171885430812835693359375,
                "content": "## Step 1: Upserting the PDF\n### Fetch file from Google Drive, split it into chunks and insert into Supabase index\n\n"
            },
            "typeVersion": 1
        },
        {
            "id": "4796124f-bc12-4353-b7ea-ec8cd7653e68",
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                "width": 710.9124489067697822974878363311290740966796875,
                "height": 726.445251951694444869644939899444580078125,
                "content": "## Start here: Step-by Step Youtube Tutorial :star:\n\n[![Building an AI Crew to Analyze Financial Data with CrewAI and n8n](https:\/\/img.youtube.com\/vi\/pMvizUx5n1g\/sddefault.jpg)](https:\/\/www.youtube.com\/watch?v=pMvizUx5n1g)\n"
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            "name": "Default Data Loader",
            "type": "@n8n\/n8n-nodes-langchain.documentDefaultDataLoader",
            "position": [
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            ],
            "parameters": {
                "options": {
                    "splitPages": true
                },
                "dataType": "binary"
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            "typeVersion": 1
        },
        {
            "id": "6dd8545d-df8c-49ff-acf6-f8c150723ee8",
            "name": "Recursive Character Text Splitter1",
            "type": "@n8n\/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
            "position": [
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            ],
            "parameters": {
                "options": [],
                "chunkSize": 3000,
                "chunkOverlap": 200
            },
            "typeVersion": 1
        },
        {
            "id": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
            "name": "Qdrant Vector Store",
            "type": "@n8n\/n8n-nodes-langchain.vectorStoreQdrant",
            "position": [
                1480,
                140
            ],
            "parameters": {
                "mode": "insert",
                "options": [],
                "qdrantCollection": {
                    "__rl": true,
                    "mode": "id",
                    "value": "crowd"
                }
            },
            "credentials": {
                "qdrantApi": {
                    "id": "NyinAS3Pgfik66w5",
                    "name": "QdrantApi account"
                }
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        },
        {
            "id": "6136c6fb-3d20-44a7-ab00-6c5671bafa10",
            "name": "When chat message received",
            "type": "@n8n\/n8n-nodes-langchain.chatTrigger",
            "disabled": true,
            "position": [
                2180,
                120
            ],
            "webhookId": "551107fb-b349-4e2b-a888-febe5e282734",
            "parameters": {
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        {
            "id": "c970f654-4c79-4637-bec0-73f79a01ab59",
            "name": "Webhook",
            "type": "n8n-nodes-base.webhook",
            "position": [
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            ],
            "webhookId": "55b825ad-8987-4618-ae92-d9b08966324b",
            "parameters": {
                "path": "19f5499a-3083-4783-93a0-e8ed76a9f742",
                "options": [],
                "httpMethod": "POST",
                "responseMode": "responseNode"
            },
            "typeVersion": 2
        },
        {
            "id": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
            "name": "Retrieval QA Chain",
            "type": "@n8n\/n8n-nodes-langchain.chainRetrievalQa",
            "position": [
                2420,
                120
            ],
            "parameters": {
                "text": "={{ $json.chatInput || $json.body.input }}",
                "options": [],
                "promptType": "define"
            },
            "typeVersion": 1.5
        },
        {
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            "name": "Vector Store Retriever",
            "type": "@n8n\/n8n-nodes-langchain.retrieverVectorStore",
            "position": [
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            ],
            "parameters": {
                "topK": 5
            },
            "typeVersion": 1
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        {
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            "name": "Qdrant Vector Store1",
            "type": "@n8n\/n8n-nodes-langchain.vectorStoreQdrant",
            "position": [
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            ],
            "parameters": {
                "options": [],
                "qdrantCollection": {
                    "__rl": true,
                    "mode": "id",
                    "value": "={{ $json.body.company }}"
                }
            },
            "credentials": {
                "qdrantApi": {
                    "id": "NyinAS3Pgfik66w5",
                    "name": "QdrantApi account"
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        {
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            "name": "OpenAI Chat Model",
            "type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
            "position": [
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            ],
            "parameters": {
                "model": {
                    "__rl": true,
                    "mode": "list",
                    "value": "gpt-4o-mini"
                },
                "options": []
            },
            "credentials": {
                "openAiApi": {
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                    "name": "OpenAi account"
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        {
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            "name": "Embeddings OpenAI1",
            "type": "@n8n\/n8n-nodes-langchain.embeddingsOpenAi",
            "position": [
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                580
            ],
            "parameters": {
                "options": []
            },
            "credentials": {
                "openAiApi": {
                    "id": "8gccIjcuf3gvaoEr",
                    "name": "OpenAi account"
                }
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        {
            "id": "c360f7b3-2ae4-4ebd-85ca-f64c3966e65d",
            "name": "Embeddings OpenAI",
            "type": "@n8n\/n8n-nodes-langchain.embeddingsOpenAi",
            "position": [
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            ],
            "parameters": {
                "options": []
            },
            "credentials": {
                "openAiApi": {
                    "id": "8gccIjcuf3gvaoEr",
                    "name": "OpenAi account"
                }
            },
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        },
        {
            "id": "9223d119-b5a7-40d4-b8da-f85951b52bde",
            "name": "Respond to Webhook",
            "type": "n8n-nodes-base.respondToWebhook",
            "position": [
                2840,
                120
            ],
            "parameters": {
                "options": [],
                "respondWith": "text",
                "responseBody": "={{ $json.response.text }}"
            },
            "typeVersion": 1.100000000000000088817841970012523233890533447265625
        }
    ],
    "pinData": [],
    "connections": {
        "Webhook": {
            "main": [
                [
                    {
                        "node": "Retrieval QA Chain",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Google Drive": {
            "main": [
                [
                    {
                        "node": "Qdrant Vector Store",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Embeddings OpenAI": {
            "ai_embedding": [
                [
                    {
                        "node": "Qdrant Vector Store",
                        "type": "ai_embedding",
                        "index": 0
                    }
                ]
            ]
        },
        "OpenAI Chat Model": {
            "ai_languageModel": [
                [
                    {
                        "node": "Retrieval QA Chain",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        },
        "Embeddings OpenAI1": {
            "ai_embedding": [
                [
                    {
                        "node": "Qdrant Vector Store1",
                        "type": "ai_embedding",
                        "index": 0
                    }
                ]
            ]
        },
        "Retrieval QA Chain": {
            "main": [
                [
                    {
                        "node": "Respond to Webhook",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Default Data Loader": {
            "ai_document": [
                [
                    {
                        "node": "Qdrant Vector Store",
                        "type": "ai_document",
                        "index": 0
                    }
                ]
            ]
        },
        "Qdrant Vector Store1": {
            "ai_vectorStore": [
                [
                    {
                        "node": "Vector Store Retriever",
                        "type": "ai_vectorStore",
                        "index": 0
                    }
                ]
            ]
        },
        "Vector Store Retriever": {
            "ai_retriever": [
                [
                    {
                        "node": "Retrieval QA Chain",
                        "type": "ai_retriever",
                        "index": 0
                    }
                ]
            ]
        },
        "When chat message received": {
            "main": [
                [
                    {
                        "node": "Retrieval QA Chain",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "When clicking \"Execute Workflow\"": {
            "main": [
                [
                    {
                        "node": "Google Drive",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Recursive Character Text Splitter1": {
            "ai_textSplitter": [
                [
                    {
                        "node": "Default Data Loader",
                        "type": "ai_textSplitter",
                        "index": 0
                    }
                ]
            ]
        }
    }
}
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