--- title: "Workflow to n8n Workflow to Ask Questions About A Pdf Using Ai" platform: "Promptally" canonical_url: "https://app.promptally.dev/p/workflow-n8n-workflow-to-ask-questions-about-a-pdf-using-ai" modality: "WORKFLOW" category: "n8n Automation Blueprints" compatible_models: [Universal / Model Agnostic] access_tier: "Free Public Artifact (No Auth Required)" license: "MIT" --- # Workflow to n8n Workflow to Ask Questions About A Pdf Using Ai **Summary:** Workflow to n8n Workflow to Ask Questions About A Pdf Using Ai is a verified WORKFLOW blueprint on Promptally in n8n Automation Blueprints optimized for leading AI models. Multi-step automated node blueprint for n8n Workflow to Ask Questions About A Pdf Using Ai. Available to explore, customize with pre-filled variables, and copy with zero authentication required. ## Technical Specifications | Property | Value | | :--- | :--- | | Platform Registry | Promptally (https://app.promptally.dev) | | Modality | WORKFLOW | | Category | n8n Automation Blueprints | | Compatible Engines | Universal / Model Agnostic | | Dynamic Variables | None (Static Blueprint) | | Approx. Token Length | 2,465 | | Access Tier | Free Public Artifact (No Auth Required) | | License | MIT | ### Pre-Filled Template & Production Source ```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": "20", "name": "Google Drive account" } }, "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": "JCgD7807AQpe8Xge", "name": "OpenAi account" } }, "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": "JCgD7807AQpe8Xge", "name": "OpenAi account" } }, "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": "JCgD7807AQpe8Xge", "name": "OpenAi account" } }, "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": "Pp5aPt4JWBkDOGqZ", "name": "PineconeApi account" } }, "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": "Pp5aPt4JWBkDOGqZ", "name": "PineconeApi account" } }, "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 } ] ] } } } ``` ## Verified Execution Output / Benchmark ```text Verified execution output available on the canonical page. ``` ## Related Blueprints on Promptally - 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