Weekly AI trends digest: arXiv paper analysis and email

This automated workflow helps AI professionals systematically track new scientific publications, extract key trends, and receive personalized analytical digests without manual data collection. Built on n8n with a LangChain agent and Weaviate-based RAG system.

## Who it´s for
- AI researchers tracking new publications
- ML developers staying updated on trends
- Educators and students refreshing knowledge with latest research
- Investors in AI startups analyzing scientific trends
- Companies conducting AI R&D

## What the automation does
- Triggered weekly via cron schedule
- Fetches new ML papers from arXiv API
- Enriches data: classifies topics and scores impact using LLM (via OpenAI or OpenRouter)
- Stores structured entries in Weaviate vector database
- A LangChain agent analyzes stored data via RAG to identify trends
- Generates a structured report, converts to HTML, and sends via email (SMTP)

## What´s included
- Ready-to-use n8n workflow
- Trigger and scheduling logic
- Integrations with arXiv API, Weaviate, OpenAI/OpenRouter, SMTP
- Basic text instructions for setup and adaptation

## Requirements for setup
- n8n instance (cloud or self-hosted)
- Access to a Weaviate instance (local or cloud)
- API key for OpenAI or OpenRouter
- SMTP server access for email delivery
- Basic understanding of JSON, APIs, and environment variables

## Benefits and outcomes
- Saves time on manual arXiv monitoring
- Automates classification and tagging of new papers
- Identifies emerging trends and forecasts field developments
- Delivers personalized digest formats for different roles
- Integrates with internal knowledge systems via Weaviate
- Scalable to other topics or data sources

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.