Automated AI/ML Trend Email Alerter with Weaviate
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Stay effortlessly updated on the latest AI and Machine Learning breakthroughs. This n8n workflow automatically fetches recent research papers from arXiv, analyzes them for emerging trends using advanced LLMs, and delivers a concise summary directly to your inbox.
About This Workflow
This powerful n8n workflow revolutionizes how you track AI/ML advancements. It starts by fetching the newest research articles from arXiv daily or weekly. After cleaning and processing the data, it leverages OpenAI embeddings and a Weaviate vector database to create a searchable, semantic knowledge base of recent papers. An intelligent LLM (Claude 3.7 Sonnet via OpenRouter) then analyzes this data, identifying key trends and significant developments. Finally, it structures these insights into a well-formatted email, converting Markdown to HTML, and sending a personalized update to keep you at the forefront of AI/ML innovation without manual effort.
Key Features
- Automated arXiv Integration: Automatically queries and ingests the latest AI/ML research papers from arXiv at your desired frequency.
- Intelligent Trend Analysis: Utilizes a powerful LLM (e.g., Claude 3.7 Sonnet via OpenRouter) to semantically analyze research summaries and identify emerging trends.
- Weaviate Vector Database: Builds a robust, searchable knowledge base of vectorized paper summaries and metadata for efficient retrieval and analysis.
- Customizable Email Alerts: Delivers a structured, Markdown-to-HTML formatted email summary of AI/ML trends directly to your inbox.
- Scalable & Flexible: Easily extendable to monitor different research categories or integrate with other notification channels.
How To Use
- Set up Credentials: Configure your API credentials for OpenAI (for embeddings), Weaviate, and OpenRouter (for the LLM).
- Configure Schedule Trigger: Define how often you want the workflow to run (e.g., daily, weekly) to fetch new articles.
- Customize arXiv Query: Modify the
Query arXivnode's URL to target different categories or increase/decrease the number of results if needed. - Adjust LLM Behavior: In the
OpenRouter Chat Modelnode, you can select a different LLM or adjust thetemperatureparameter to control the creativity and focus of the trend analysis. - Refine Output Structure: If desired, modify the
jsonSchemaExamplein theStructured Output Parsernode to change the email's subject and body format. - Add Email Sending Node: Connect a
Send Emailnode (e.g., SMTP, Gmail) after theMarkdownnode to define recipients and sender details for the alerts.
Apps Used
Workflow JSON
{
"id": "5d56f036-f356-48b6-b3c4-b326a876772a",
"name": "Automated AI/ML Trend Email Alerter with Weaviate",
"nodes": 17,
"category": "Personal",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 5d56f036-f356...
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