Automate Weekly AI Research Summaries with arXiv and Weaviate
Automatically gather AI and machine learning articles from arXiv, enrich them with topic categories, and generate a concise weekly summary email using Weaviate.
This workflow is designed for individuals interested in staying updated with the latest AI research trends without the hassle of manual searching. It fetches AI and machine learning article abstracts from arXiv, enriches them using a language model to categorize topics, and stores them in a Weaviate vector store. An AI agent then analyzes the stored data to generate a weekly email summarizing key research trends and future directions. This process ensures you receive a curated, easy-to-read summ
- Platform
- n8n
- Category
- AI & Machine Learning
- Price
- $19.99
- Creator
- Chloe Dubois
- starter-docker-compose-file
- set
- xml
- merge
- dateTime
- markdown
- splitOut
- aggregate
- emailSend
- stickyNote
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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