Automate data retrieval from Google Drive using the Google Drive API, enrich it with AI embeddings from OpenAI GPT, and store vectors in Pinecone's Vector Database. Ideal for AI-powered automation users looking to streamline workflows. Requires 3 accounts: Pinecone API, OpenAI API, Google Drive OAuth. Save hours on data management while enhancing decision-making with AI-driven insights.
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{ "meta": { "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9", "templateCredsSetupCompleted": true }, "nodes": [ { "id": "e2e61eae-6306-47db-908c-9d82758f6516", "name": "When clicking \"Execute Workflow\"", "type": "n8n-nodes-base.manualTrigger", "position": [ -660, 40 ], "parameters": {}, "typeVersion": 1 }, { "id": "a45afcc0-d780-462a-9ed7-27daf01363a7", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -500, -140 ], "parameters": { "color": 7, "width": 1086.039382705461, "height": 728.4168721167887, "content": "## 1. Setup: Fetch file from Google Drive, split it into chunks and insert into a vector database\nNote that running this part multiple times will insert multiple copies into your DB" }, "typeVersion": 1 }, { "id": "a3c56569-0728-4246-8d87-fa106d373566", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -960, -60 ], "parameters": { "height": 350.7942096493649, "content": "# Try me out\n1. In Pinecone, create an index with 1536 dimensions and select it in the two vector store nodes\n2. Populate Pinecone by clicking the 'test workflow' button below\n3. Click the 'chat' button below and enter the following:\n\n_Which email provider does the creator of Bitcoin use?_" }, "typeVersion": 1 }, { "id": "c1543b8a-dbea-42a9-a35e-e22ed86f565b", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -500, 640 ], "parameters": { "color": 7, "width": 1594, "height": 529, "content": "## 2. Chat with file, getting citations in reponse" }, "typeVersion": 1 }, { "id": "5300d5dd-4186-4402-9442-88adab4e9a89", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -480, -40 ], "parameters": { "color": 7, "width": 179.58883583572606, "height": 257.75985739596473, "content": "Will fetch the Bitcoin whitepaper, but you can change this" }, "typeVersion": 1 }, { "id": "9f707f2b-6cb2-47b8-88fc-65cfd09b6cae", "name": "Pinecone Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ 80, 40 ], "parameters": { "mode": "insert", "options": {}, "pineconeIndex": { "__rl": true, "mode": "id", "value": "test-index" } }, "credentials": { "pineconeApi": { "id": "OHDlDbBkaPDgpnOY", "name": "PineconeApi account" } }, "typeVersion": 1 }, { "id": "a32ac59e-efdc-4ff3-92dd-be794c2be7f7", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ -660, 760 ], "webhookId": "cd2703a7-f912-46fe-8787-3fb83ea116ab", "parameters": { "options": {} }, "typeVersion": 1.1 }, { "id": "e14145d2-0c18-4813-9555-263314cb0376", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 340, 980 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "8gccIjcuf3gvaoEr", "name": "OpenAi account" } }, "typeVersion": 1.2 }, { "id": "e6863abd-d3df-4b45-9083-96b82cd46773", "name": "Set file URL in Google Drive", "type": "n8n-nodes-base.set", "position": [ -440, 40 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "dc7a70e3-9b04-404b-8892-ba0fcc4274c2", "name": "file_url", "type": "string", "value": " https://drive.google.com/file/d/11Koq9q53nkk0F5Y8eZgaWJUVR03I4-MM/view" } ] } }, "typeVersion": 3.4 }, { "id": "80d241f1-7c8a-489e-9255-84bc79ec11c7", "name": "Download file", "type": "n8n-nodes-base.googleDrive", "position": [ -220, 40 ], "parameters": { "fileId": { "__rl": true, "mode": "url", "value": "={{ $json.file_url }}" }, "options": {}, "operation": "download" }, "credentials": { "googleDriveOAuth2Api": { "id": "yOwz41gMQclOadgu", "name": "Google Drive account" } }, "typeVersion": 3 }, { "id": "8483b283-1ff4-4540-891a-09886c146e16", "name": "Default Data Loader", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "position": [ 180, 240 ], "parameters": { "options": { "metadata": { "metadataValues": [ { "name": "file_url", "value": "={{ $('Set file URL in Google Drive').first().json.file_url }}" }, { "name": "file_name", "value": "={{ $('Download file').first().binary.data.fileName }}" } ] } }, "dataType": "binary" }, "typeVersion": 1 }, { "id": "c262df34-b2d9-4f48-b975-d694469e6e5a", "name": "Embeddings OpenAI2", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ -220, 980 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "8gccIjcuf3gvaoEr", "name": "OpenAi account" } }, "typeVersion": 1.2 }, { "id": "45c8e8cb-a29e-48ad-985f-e0136065840f", "name": "Embeddings OpenAI", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ 40, 240 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "8gccIjcuf3gvaoEr", "name": "OpenAi account" } }, "typeVersion": 1.2 }, { "id": "8c852568-f100-4849-a06f-86e71733512a", "name": "Recursive Character Text Splitter", "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "position": [ 260, 400 ], "parameters": { "options": {}, "chunkSize": 3000, "chunkOverlap": 200 }, "typeVersion": 1 }, { "id": "319e5b2d-c648-4ef5-8238-7732c62d34f5", "name": "Set max chunks to send to model", "type": "n8n-nodes-base.set", "position": [ -420, 760 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "33f4addf-72f3-4618-a6ba-5b762257d723", "name": "chunks", "type": "number", "value": 4 } ] }, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "91b9132e-ef51-4044-be1b-f391aeeb467c", "name": "Get top chunks matching query", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ -220, 760 ], "parameters": { "mode": "load", "topK": "={{ $json.chunks }}", "prompt": "={{ $json.chatInput }}", "options": {}, "pineconeIndex": { "__rl": true, "mode": "id", "value": "test-index" } }, "credentials": { "pineconeApi": { "id": "OHDlDbBkaPDgpnOY", "name": "PineconeApi account" } }, "typeVersion": 1 }, { "id": "5ad6e0fd-c296-4507-8232-164b5be57f4a", "name": "Prepare chunks", "type": "n8n-nodes-base.code", "position": [ 140, 760 ], "parameters": { "jsCode": "let out = \"\"\nfor (const i in $input.all()) {\n let itemText = \"--- CHUNK \" + i + \" ---\\n\"\n itemText += $input.all()[i].json.document.pageContent + \"\\n\"\n itemText += \"\\n\"\n out += itemText\n}\n\nreturn {\n 'context': out\n};" }, "typeVersion": 2 }, { "id": "770b066a-abb2-443e-bcaa-14632c6696f4", "name": "Answer the query based on chunks", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [ 340, 760 ], "parameters": { "text": "={{ $json.context }}\n\nQuestion: {{ $('When chat message received').first().json.chatInput }}\nHelpful Answer:", "options": { "systemPromptTemplate": "=Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer. Important: In your response, also include the the indexes of the chunks you used to generate the answer." }, "schemaType": "manual", "inputSchema": "{\n \"type\": \"object\",\n \"required\": [\"answer\", \"citations\"],\n \"properties\": {\n \"answer\": {\n \"type\": \"string\"\n },\n \"citations\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"number\"\n }\n }\n }\n}" }, "typeVersion": 1 }, { "id": "e43abc0c-cedf-4e73-a766-7fad57601cfe", "name": "Compose citations", "type": "n8n-nodes-base.set", "position": [ 700, 760 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "ace6185e-8b3d-4f89-ae36-dfe0c391a0a9", "name": "citations", "type": "array", "value": "={{ $json.citations.map(i => '[' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata.file_name + ', lines ' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata['loc.lines.from'] + '-' + $('Get top chunks matching query').all()[$json.citations].json.document.metadata['loc.lines.to'] + ']') }}" } ] } }, "typeVersion": 3.4 }, { "id": "f82df340-42fc-4e92-9e9d-d808f19e0407", "name": "Generate response", "type": "n8n-nodes-base.set", "position": [ 900, 760 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "11396286-0378-4c3a-86e1-c9ef51afbfc7", "name": "text", "type": "string", "value": "={{ $json.answer }} {{ $if(!$json.citations.isEmpty(), \"\\n\" + $json.citations.join(\"\"), '') }}" } ] } }, "typeVersion": 3.4 } ], "pinData": {}, "connections": { "Download file": { "main": [ [ { "node": "Pinecone Vector Store", "type": "main", "index": 0 } ] ] }, "Prepare chunks": { "main": [ [ { "node": "Answer the query based on chunks", "type": "main", "index": 0 } ] ] }, "Compose citations": { "main": [ [ { "node": "Generate response", "type": "main", "index": 0 } ] ] }, "Embeddings OpenAI": { "ai_embedding": [ [ { "node": "Pinecone Vector Store", "type": "ai_embedding", "index": 0 } ] ] }, "Embeddings OpenAI2": { "ai_embedding": [ [ { "node": "Get top chunks matching query", "type": "ai_embedding", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Answer the query based on chunks", "type": "ai_languageModel", "index": 0 } ] ] }, "Default Data Loader": { "ai_document": [ [ { "node": "Pinecone Vector Store", "type": "ai_document", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "Set max chunks to send to model", "type": "main", "index": 0 } ] ] }, "Set file URL in Google Drive": { "main": [ [ { "node": "Download file", "type": "main", "index": 0 } ] ] }, "Get top chunks matching query": { "main": [ [ { "node": "Prepare chunks", "type": "main", "index": 0 } ] ] }, "Set max chunks to send to model": { "main": [ [ { "node": "Get top chunks matching query", "type": "main", "index": 0 } ] ] }, "Answer the query based on chunks": { "main": [ [ { "node": "Compose citations", "type": "main", "index": 0 } ] ] }, "When clicking \"Execute Workflow\"": { "main": [ [ { "node": "Set file URL in Google Drive", "type": "main", "index": 0 } ] ] }, "Recursive Character Text Splitter": { "ai_textSplitter": [ [ { "node": "Default Data Loader", "type": "ai_textSplitter", "index": 0 } ] ] } } }
Harness the Google Drive API and Google Gemini to extract actionable insights from your company documents. This workflow is designed for business teams looking to streamline document analysis. Requires 4 accounts: Pinecone API, Google Palm API, Google Drive OAuth, and more. Save hours on document processing, enabling your team to focus on strategic initiatives and decision-making.
Leverage the Google Drive API to store and manage AI chat interactions, utilizing Pinecone's Vector Storage for optimized data retrieval. This workflow is ideal for AI-powered automation users looking to streamline communication processes. Requires 3 accounts: Pinecone API, Google Drive OAuth, and OpenAI API. Save up to 5 hours per week handling customer queries efficiently with AI-driven responses.
Automate data retrieval from PostgreSQL and enrich insights using OpenAI GPT through an AI Chat interface. Ideal for data management professionals seeking streamlined operations. Requires 2 accounts: PostgreSQL and OpenAI API. Save hours of manual data handling and enhance decision-making with real-time insights.
Automate WhatsApp messages using the WhatsApp Business API, store data in MongoDB Atlas, and enhance responses with OpenAI's AI Chat and AI Embeddings. Perfect for AI-powered automation users looking to streamline communication and data management. Requires 6 accounts: OpenAI API, MongoDB, Google Docs OAuth, and more. Save hours on message handling while improving response accuracy and engagement.
Configure credentials and update service-specific settings before executing the workflow. Review required credentials in the Technical Details section above.