{ "nodes": [ { "id": "40bb5497-d1d2-4eb7-b683-78b88c8d9230", "name": "Google Drive", "type": "n8n-nodes-base.googleDrive", "position": [ 496.83478320435574, 520 ], "parameters": { "fileId": { "__rl": true, "mode": "url", "value": "REPLACE_WITH_RESOURCE" }, "options": {}, "operation": "download" }, "typeVersion": 3 }, { "id": "1323d520-1528-4a5a-9806-8f4f45306098", "name": "Recursive Character Text Splitter", "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "position": [ 996.8347832043557, 920 ], "parameters": { "chunkSize": 3000, "chunkOverlap": 200 }, "typeVersion": 1 }, { "id": "796b155a-64e6-4a52-9168-a37c68077d99", "name": "Embeddings OpenAI", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 836.8347832043557, 740 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "dbe42c28-6f0b-4999-8372-0b42f6fb5916", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 260, 420 ], "parameters": { "color": 7, "width": 978.0454109366399, "height": 806.6556079800943, "content": "### Load data into database\nFetch file from Google Drive, split it into chunks and insert into Pinecone index" }, "typeVersion": 1 }, { "id": "43dc3736-834d-4322-8fd2-7826b0208c4b", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1520, 420 ], "parameters": { "color": 7, "width": 654.1028019808174, "height": 806.8716167324012, "content": "### Chat with database\nEmbed the incoming chat message and use it retrieve relevant chunks from the vector store. These are passed to the model to formulate an answer " }, "typeVersion": 1 }, { "id": "53b18460-8ad6-425a-a01f-c2295cfddde8", "name": "Default Data Loader", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "position": [ 996.8347832043557, 740 ], "parameters": { "options": {}, "dataType": "binary" }, "typeVersion": 1 }, { "id": "e729a021-eab3-48fa-a818-457efcaeebb2", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -20, 740 ], "parameters": { "height": 264.61498034081166, "content": "## Try me out\n1. In Pinecone, create an index with 1536 dimensions and select it in *both* Pinecone nodes\n2. Click 'test workflow' at the bottom of the canvas to load data into the vector store\n3. Click 'chat' at the bottom of the canvas to ask questions about the data" }, "typeVersion": 1 }, { "id": "3e17c89c-620d-4892-b944-d792e48e3772", "name": "Question and Answer Chain", "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa", "position": [ 1560, 521 ], "parameters": {}, "typeVersion": 1.2 }, { "id": "516507f9-d0d9-4975-85d0-a7852ee41518", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1560, 741 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "8b0a5d26-a60a-40ab-8200-72f542532096", "name": "Embeddings OpenAI2", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 1700, 1081 ], "parameters": { "options": {} }, "typeVersion": 1 }, { "id": "07f61d20-cf50-48e8-9d34-92244af436cb", "name": "Vector Store Retriever", "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore", "position": [ 1760, 741 ], "parameters": {}, "typeVersion": 1 }, { "id": "0777de17-99a0-499a-b71f-245d5f76642e", "name": "Read Pinecone Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ 1700, 921 ], "parameters": { "options": {}, "pineconeIndex": { "__rl": true, "mode": "list", "value": "REPLACE_WITH_RESOURCE" } }, "typeVersion": 1 }, { "id": "cc5e6897-9d0b-4352-a882-5dc23104bf97", "name": "Insert into Pinecone vector store", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ 856.8347832043557, 520 ], "parameters": { "mode": "insert", "options": { "clearNamespace": true }, "pineconeIndex": { "__rl": true, "mode": "list", "value": "REPLACE_WITH_RESOURCE" } }, "typeVersion": 1 }, { "id": "c358aa73-b60f-453f-a3ef-539faa98c9b5", "name": "When clicking 'Chat' button below", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ 1360, 521 ], "parameters": {}, "typeVersion": 1 }, { "id": "d35db9e1-4efc-4980-9814-55fbe65e08fd", "name": "When clicking 'Test Workflow' button", "type": "n8n-nodes-base.manualTrigger", "position": [ 76.83478320435574, 520 ], "parameters": {}, "typeVersion": 1 }, { "id": "4c04f576-e834-467d-98b4-38a2d501d82f", "name": "Set Google Drive file URL", "type": "n8n-nodes-base.set", "position": [ 296, 520 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "50025ff5-1b53-475f-b150-2aafef1c4c21", "name": "file_url", "type": "string", "value": "https://drive.google.com/file/d/11Koq9q53nkk0F5Y8eZgaWJUVR03I4-MM/view" } ] } }, "typeVersion": 3.3 }, { "id": "56ef3aa5-6f33-51c5-89c8-04b0d76e6545", "name": "Publication ยท Overview and setup", "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -820, 0 ], "parameters": { "content": "# Load data into database\n\n## Purpose and structure\nThis folder contains the **Load data into database** workflow. Its executable nodes use `chainRetrievalQa`, `chatTrigger`, `documentDefaultDataLoader`, `embeddingsOpenAi`, `googleDrive`, `lmChatOpenAi`, `manualTrigger`, `retrieverVectorStore`, `set`, `textSplitterRecursiveCharacterTextSplitter`, `vectorStorePinecone`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen clicking 'Chat' button below, When clicking 'Test Workflow' button\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Manual/1319_Manual_Stickynote_Automation_Triggered.json\nMIT; preserve source notices.", "width": 700, "height": 800, "color": 1 } } ], "connections": { "Google Drive": { "main": [ [ { "node": "Insert into Pinecone vector store", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI": { "ai_embedding": [ [ { "node": "Insert into Pinecone vector store", "type": "ai_embedding", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Question and Answer Chain", "type": "ai_languageModel", "index": 0 } ] ] }, "Embeddings OpenAI2": { "ai_embedding": [ [ { "node": "Read Pinecone Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Default Data Loader": { "ai_document": [ [ { "node": "Insert into Pinecone vector store", "type": "ai_document", "index": 0 } ] ] }, "Vector Store Retriever": { "ai_retriever": [ [ { "node": "Question and Answer Chain", "type": "ai_retriever", "index": 0 } ] ] }, "Set Google Drive file URL": { "main": [ [ { "node": "Google Drive", "type": "main", "index": 0 } ] ] }, "Read Pinecone Vector Store": { "ai_vectorStore": [ [ { "node": "Vector Store Retriever", "type": "ai_vectorStore", "index": 0 } ] ] }, "Recursive Character Text Splitter": { "ai_textSplitter": [ [ { "node": "Default Data Loader", "type": "ai_textSplitter", "index": 0 } ] ] }, "When clicking 'Chat' button below": { "main": [ [ { "node": "Question and Answer Chain", "type": "main", "index": 0 } ] ] }, "When clicking 'Test Workflow' button": { "main": [ [ { "node": "Set Google Drive file URL", "type": "main", "index": 0 } ] ] } }, "active": false }