The title is very good, clearly conveying the template's purpose while mentioning key technologies

Description

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/n8n_newsletter