The title is very good, clearly conveying the template's purpose while mentioning key technologies
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.
Nodes used (13)
- Manual Trigger
n8n-nodes-base.manualTrigger - RSS Read
n8n-nodes-base.rssFeedRead - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - Merge
n8n-nodes-base.merge - If
n8n-nodes-base.if - No Operation, do nothing
n8n-nodes-base.noOp - Gmail
n8n-nodes-base.gmail - Ollama Chat Model
@n8n/n8n-nodes-langchain.lmChatOllama - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Postgres
n8n-nodes-base.postgres - Compare Datasets
n8n-nodes-base.compareDatasets - Schedule Trigger
n8n-nodes-base.scheduleTrigger
What it does
How it works - Collects articles from your preferred RSS feeds. - Rates and tags each article using an AI model (e.g., QWEN 14B-s4), filtering for relevance and quality. - Summarizes high-rated articles with a language model (e.g., Gemma3 4B) for quick, digestible reading. - Checks for duplicates to avoid sending the same article twice. - Formats and sends the top articles as an HTML newsletter via Gmail, using OAuth2 authentication. - Stores records in a Postgres database, tracking which articles have been sent and their ratings. Requirements - Postgres Account - AI Models (if you work localy use Ollama) - In the cloud you have to change Ollama node to your prefered Model Node - RSS Feed of your desire - Google Auth2, if you want to use Gmail Recommendations - Use n8n local version for this workflow - Here are some more informations: https://github.com/falks-ai-workbench/n8nnewsletter