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