How I Built a Research Agent for Richer Blog Content (n8n + Vector Store)

Field Notes from Alex · Beginner ·🛠️ AI Tools & Apps ·9mo ago
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
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