Draft and manage academic research papers with GPT-4 and Pinecone
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 34 nodes and runs on a schedule (every day at 06:00). Along the way it connects OpenAI Chat Model, Embeddings OpenAI and Google Sheets.
How it runs
Trigger: On a schedule (every day at 06:00).
- Workflow Configuration (Edit Fields (Set)): sets 7 fields: arxivApiUrl, patentApiUrl, datasetApiUrl…
- Fetch Academic Papers (HTTP Request): calls an HTTP API
- Fetch Patents (HTTP Request): calls an HTTP API
- Fetch Datasets (HTTP Request): calls an HTTP API
- Fetch Technical Blogs (HTTP Request): calls an HTTP API
- Combine All Sources (Merge): merges the data from its input branches
- Rate Limit Delay (Wait): waits 2 seconds
- Knowledge Base Vector Store (Simple Vector Store): stores documents in the Simple vector store, with embeddings: OpenAI Embeddings; document loader: Document Loader
- Research Analysis Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-4 Model; memory: Research Context Memory; output parser: Analysis Output Parser
- Save to Research Database (Google Sheets): append or update
…plus 9 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (15)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Merge
n8n-nodes-base.merge - Wait
n8n-nodes-base.wait - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Simple Vector Store
@n8n/n8n-nodes-langchain.vectorStoreInMemory - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - If
n8n-nodes-base.if - Google Sheets
n8n-nodes-base.googleSheets
From the author
How It Works This workflow automates academic research processing by routing queries through specialized AI models while maintaining contextual memory. Designed for researchers, faculty, and graduate students, it solves the challenge of managing multiple AI…