AI Weekly Trends Automation with arXiv and Weaviate

This n8n workflow automates the weekly collection, enrichment, and analysis of AI and machine learning research articles from arXiv. It starts with a scheduled trigger to fetch recent papers using the arXiv API. The data is cleaned, parsed from XML to JSON, and then enriched with topic classification and impact predictions using OpenAI and Langchain AI agents. The abstracts and metadata are embedded into a Weaviate vector store for efficient retrieval. An AI agent then performs trend analysis based on the stored articles, generating a concise summary email that highlights the key research developments and future directions in AI and ML. This dynamic workflow is ideal for researchers, AI enthusiasts, or organizations wanting to stay updated with cutting-edge research automatically, receive weekly insights, and keep ahead in the fast-paced AI field.