9d • 🎥 YouTube Video Vault
🚀New Video: How to Build RAG in n8n – Higher Accuracy w/ Metadata (Free Setup)
Here’s a new workflow I recorded: a clean RAG setup in n8n that prioritizes input quality.
What’s inside
• Drive → filter PDFs → extract text
• AI Agent creates summary, keywords, search terms per chunk
• Merge text + metadata → Pinecone
• Query with GPT-4.1 and run an 8-question evaluation set
• Results + ideas to improve without a re-ranker Why it matters (client angle)
Clients don’t pay for “chat with docs”—they pay for correct answers.
Better ingestion + metadata = higher accuracy and fewer hallucinations.
Tools used n8n, Google Drive, Pinecone, OpenAI GPT-4.1, text-embedding-3-large
Watch on YouTube
Drop questions below and share your eval results—happy to help you tune chunking/metadata.
🚀 Want hands-on help + all call recordings?
Join the Academy: https://www.skool.com/muro-ai-academy
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🚀New Video: How to Build RAG in n8n – Higher Accuracy w/ Metadata (Free Setup)
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