Ask questions about a PDF using AI
Ready-to-use n8n workflow template for data. This automation connects Google Drive, Pinecone, OpenAI with 16 nodes. Import directly into your n8n instance and customize for your needs.
Workflow JSON
{"meta": {"instanceId": "62b3b6db4f4d3641a1fa1da6dfb9699a19380a1f60cbc18fc75d6d145f35552b"}, "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": "https://drive.google.com/file/d/11Koq9q53nkk0F5Y8eZgaWJUVR03I4-MM/view"}, "options": {}, "operation": "download"}, "credentials": {"googleDriveOAuth2Api": {"id": "", "name": "[Your googleDriveOAuth2Api]"}}, "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": {}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "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": {}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "typeVersion": 1}, {"id": "8b0a5d26-a60a-40ab-8200-72f542532096", "name": "Embeddings OpenAI2", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [1700, 1081], "parameters": {"options": {}}, "credentials": {"openAiApi": {"id": "", "name": "[Your openAiApi]"}}, "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": "test-index", "cachedResultName": "test-index"}}, "credentials": {"pineconeApi": {"id": "", "name": "[Your pineconeApi]"}}, "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": "test-index", "cachedResultName": "test-index"}}, "credentials": {"pineconeApi": {"id": "", "name": "[Your pineconeApi]"}}, "typeVersion": 1}, {"id": "c358aa73-b60f-453f-a3ef-539faa98c9b5", "name": "When clicking 'Chat' button below", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [1360, 521], "webhookId": "e259b6fe-b2a9-4dbc-98a4-9a160e7ac10c", "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}], "pinData": {}, "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}]]}}}How to Import This Workflow
- 1Copy the workflow JSON above using the Copy Workflow JSON button.
- 2Open your n8n instance and go to Workflows.
- 3Click Import from JSON and paste the copied workflow.
Don't have an n8n instance? Start your free trial at n8nautomation.cloud
Related Templates
Breakdown Documents into Study Notes using Templating MistralAI and Qdrant
Ready-to-use n8n workflow template for data. This automation connects Qdrant with 42 nodes. Import directly into your n8n instance and customize for your needs.
Convert URL HTML to Markdown Format and Get Page Links
Ready-to-use n8n workflow template for data. This automation connects various tools with 17 nodes. Import directly into your n8n instance and customize for your needs.
Chat with PDF docs using AI (quoting sources)
Ready-to-use n8n workflow template for data. This automation connects Google Drive, Pinecone, OpenAI with 22 nodes. Import directly into your n8n instance and customize for your needs.