{ "id": "tMiRJYDrXzpKysTX", "meta": { "instanceId": "2723a3a635131edfcb16103f3d4dbaadf3658e386b4762989cbf49528dccbdbd", "templateId": "1960" }, "name": "Stock Q&A Workflow", "tags": [], "nodes": [ { "id": "ec3b86be-4113-4fd5-8365-02adb67693e9", "name": "Embeddings OpenAI1", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 1960, 720 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "fOF5kro9BJ6KMQ7n", "name": "OpenAi account" } }, "typeVersion": 1 }, { "id": "42fd8020-3861-4d0f-a7a2-70e2c35f0bed", "name": "On new manual Chat Message", "type": "@n8n/n8n-nodes-langchain.manualChatTrigger", "disabled": true, "position": [ 1620, 240 ], "parameters": {}, "typeVersion": 1 }, { "id": "a9b48d04-691e-4537-90f8-d7a4aa6153af", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1560, 120 ], "parameters": { "color": 6, "width": 903.0896125323785, "height": 733.5099670584011, "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": "472b4800-745a-4337-9545-163247f7e9ae", "name": "Retrieval QA Chain", "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa", "position": [ 1880, 240 ], "parameters": { "query": "={{ $json.body.input }}" }, "typeVersion": 1 }, { "id": "e58bd82d-abc6-44ed-8e93-ec5436126d66", "name": "Respond to Webhook", "type": "n8n-nodes-base.respondToWebhook", "position": [ 2280, 240 ], "parameters": { "options": {}, "respondWith": "text", "responseBody": "={{ $json.response.text }}" }, "typeVersion": 1 }, { "id": "04bbf01e-8269-47c7-897d-4ea94a1bd1c0", "name": "Vector Store Retriever", "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore", "position": [ 2020, 440 ], "parameters": { "topK": 5 }, "typeVersion": 1 }, { "id": "feee6d68-2e0d-4d40-897e-c1d833a13bf2", "name": "Webhook1", "type": "n8n-nodes-base.webhook", "position": [ 1620, 420 ], "webhookId": "679f4afb-189e-4f04-9dc0-439eec2ec5f1", "parameters": { "path": "19f5499a-3083-4783-93a0-e8ed76a9f742", "options": {}, "httpMethod": "POST", "responseMode": "responseNode" }, "typeVersion": 1.1 }, { "id": "1b8d251f-7069-4d7d-b6d6-4bfa683d4ad1", "name": "When clicking \"Execute Workflow\"", "type": "n8n-nodes-base.manualTrigger", "position": [ 280, 260 ], "parameters": {}, "typeVersion": 1 }, { "id": "b746a7a4-ed94-4332-bf7b-65aadcf54130", "name": "Google Drive", "type": "n8n-nodes-base.googleDrive", "position": [ 580, 260 ], "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": "1tsDIpjUaKbXy0be", "name": "Google Drive account" } }, "typeVersion": 3 }, { "id": "83a7d470-f934-436d-ba3f-1ae7c776f5a5", "name": "Binary to Document", "type": "@n8n/n8n-nodes-langchain.documentBinaryInputLoader", "position": [ 860, 480 ], "parameters": { "loader": "pdfLoader", "options": {} }, "typeVersion": 1 }, { "id": "b52b4a90-99a1-49cc-a6f0-7551d6754496", "name": "Recursive Character Text Splitter", "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "position": [ 860, 640 ], "parameters": { "options": {}, "chunkSize": 3000, "chunkOverlap": 200 }, "typeVersion": 1 }, { "id": "b525e130-2029-4f55-a603-1fdc05a19c17", "name": "Embeddings OpenAI", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 1160, 480 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "fOF5kro9BJ6KMQ7n", "name": "OpenAi account" } }, "typeVersion": 1 }, { "id": "5358c53f-55f9-431d-8956-c6bae7ad25bc", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 540, 120 ], "parameters": { "color": 6, "width": 772.0680602743597, "height": 732.3675002130781, "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": "fb91e2da-0eeb-47a5-aa49-65bf56986857", "name": "Qdrant Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant", "position": [ 940, 260 ], "parameters": { "mode": "insert", "options": {}, "qdrantCollection": { "__rl": true, "mode": "id", "value": "=crowd" } }, "credentials": { "qdrantApi": { "id": "U5CpjAgFeXziP3I1", "name": "QdrantApi account" } }, "typeVersion": 1 }, { "id": "89e14837-d1fc-4b1e-9ebc-7cf3e7fd9a70", "name": "Qdrant Vector Store1", "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant", "position": [ 1980, 600 ], "parameters": { "qdrantCollection": { "__rl": true, "mode": "id", "value": "={{ $json.body.company }}" } }, "credentials": { "qdrantApi": { "id": "U5CpjAgFeXziP3I1", "name": "QdrantApi account" } }, "typeVersion": 1 }, { "id": "c619245b-5ea0-4354-974d-21ec6b8efa93", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1880, 460 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "fOF5kro9BJ6KMQ7n", "name": "OpenAi account" } }, "typeVersion": 1 }, { "id": "e4aa780d-8069-4308-a61f-82ed876af71a", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -560, 120 ], "parameters": { "color": 6, "width": 710.9124489067698, "height": 726.4452519516944, "content": "## Start here: Step-by Step Youtube Tutorial :star:\n\n[](https://www.youtube.com/watch?v=pMvizUx5n1g)\n" }, "typeVersion": 1 } ], "active": true, "pinData": {}, "settings": {}, "versionId": "463aec94-26a6-436d-8732-fc01d637c6ae", "connections": { "Webhook1": { "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 } ] ] }, "Binary to Document": { "ai_document": [ [ { "node": "Qdrant Vector Store", "type": "ai_document", "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 } ] ] }, "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 } ] ] }, "On new manual Chat Message": { "main": [ [ { "node": "Retrieval QA Chain", "type": "main", "index": 0 } ] ] }, "When clicking \"Execute Workflow\"": { "main": [ [ { "node": "Google Drive", "type": "main", "index": 0 } ] ] }, "Recursive Character Text Splitter": { "ai_textSplitter": [ [ { "node": "Binary to Document", "type": "ai_textSplitter", "index": 0 } ] ] } } }