n8n Workflow Tutorials - n8n Just Leveled Up RAG Agents (Reranking & Metadata)

Full courses + unlimited support: https://www.skool.com/ai-automation-society-plus/about All my FREE resources: https://www.skool.com/ai-automation-society/about Apply for my YT podcast: https://podcast.nateherk.com/apply Work with me: https://uppitai.com/ My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting 📚Cohere Reranking: https://cohere.com/ In this video, I walk you through how to make your n8n RAG agents instantly smarter using re-rankers and metadata. If you've ever had your AI agent return the wrong information or pull irrelevant chunks from your vector database, this is the fix. Re-rankers help prioritize the most relevant chunks after your initial search, making the results dramatically more accurate. I also show you how to use metadata both when vectorizing and when retrieving, so your agents can filter and find exactly what they need with precision. These techniques are simple to implement but make a huge difference in how well your agents understand and respond. If you're building AI agents in n8n, this video will help you take them to the next level. Sponsorship Inquiries: 📧 [email protected] Connect with me: https://www.linkedin.com/in/nateherkelman/ https://x.com/nateherk https://www.instagram.com/nateherk/ WATCH NEXT: https://youtu.be/Ik8OHT3w4pE?si=58-J3hJecjpZ80if TIMESTAMPS 00:00 What is Vector Reranking? 01:59 Cohere Reranker in n8n 05:42 The Problem with Chunk-Based Retrieval 06:31 Enriching Chunks with Metadata 09:48 Metadata Filtering Retrieval 13:32 Want to Master n8n? Gear I Used: Camera: Razer Kiyo Pro Microphone: Blue Yeti USB