Monitor AI research papers with Gemini-powered filtering and email summaries
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 19 nodes and runs on a schedule (cron 6 0 * * 2-5). Along the way it connects Google Gemini Chat Model and Google Gemini.
How it runs
Trigger: On a schedule (cron 6 0 * * 2-5).
- Construct API query (Code): runs custom JavaScript code
- Get ArXiv Paper Data (HTTP Request): calls an HTTP API
- Convert XML Feed (XML): converts between XML and JSON
- Check Paper Availability (Switch): routes items into 2 branches
- Stop and Error: stops the run with an error
- Extract Relevant Data (Code): runs custom Python code
- Paper Relevance Analyzer (AI Agent): runs an AI agent, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Split Data Fragments (Split Out): splits a list into separate items
- Merge: merges the data from its input branches
- Paper Summarizer (Google Gemini): work with document
…plus 4 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 (14)
- Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Send Email
n8n-nodes-base.emailSend - Stop and Error
n8n-nodes-base.stopAndError - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - XML
n8n-nodes-base.xml - Switch
n8n-nodes-base.switch - AI Agent
@n8n/n8n-nodes-langchain.agent - Split Out
n8n-nodes-base.splitOut - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini - Merge
n8n-nodes-base.merge - Aggregate
n8n-nodes-base.aggregate
From the author
This n8n workflow template implements an intelligent research paper monitoring system that automatically tracks new publications in ArXiv's Artificial Intelligence category, filters them for relevance using LLM-based analysis, generates structured summaries,…