How I Built a Research Agent for Richer Blog Content (n8n + Vector Store)
Struggling to get Ai to write content that actually says something new?
In this tutorial, I’ll show you how I built a research agent using n8n, OpenAI, Perplexity and a vector store setup that helps me gather, store and reuse deep web insights for every blog post.
This agent doesn’t just automate research it creates a repeatable flow that pulls live context from trusted sources, extracts key takeaways and saves it all to Supabase for use in my RAG-powered content pipeline.
Whether you're writing solo or leading a content team, this is how I’ve started producing richer, more insightful blog …
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Chapters (8)
Intro
1:20
Topic Researcher
1:43
Deep Web Research with Perplexity
1:59
Vector Store RAG System Explainer
3:15
Citation Research
3:42
Key Takeaways Agent
4:40
Topic Analyst
6:18
Summary
DeepCamp AI