n8n Just Leveled Up AI Agents (Cohere Reranker) скачать в хорошем качестве

n8n Just Leveled Up AI Agents (Cohere Reranker)

👉 Upgrade your n8n AI Agents with our Advanced RAG workflows https://www.theaiautomators.com/?utm_... If you’re building RAG agents in n8n and struggling with irrelevant or low-quality responses — this one’s for you. In this video, I walk you through Cohere’s new re-ranker integration in n8n (as of version 1.98) and explain why re-ranking is one of the most powerful upgrades you can make to improve your agent's accuracy. You'll learn: What re-ranking is (and how it compares to vector search) How the new re-ranker node works in n8n Limitations of the current implementation — and how to work around them How to combine re-ranking, hybrid search, and metadata filtering for best-in-class RAG accuracy We’ll explore a working example using Supabase as the vector store and walk through real agent workflows that demonstrate two-stage retrieval in action. Cohere’s re-ranker (v3.5) is now natively supported in n8n — but it's just the beginning. Whether you're automating internal tools or building commercial AI products, mastering re-ranking is a game-changer. 🔗 Links & Resources: Cohere API – https://cohere.com/ n8n – https://theaiautomators.com/go/n8n Cache Augmented Generation Video -    • Will CAG replace RAG in N8N? Gemini, OpenA...   Hybrid Search Video -    • This Hybrid RAG Trick Makes Your AI Agents...   RAG Masterclass -    • n8n RAG Masterclass - Build AI Agents + Sy...   N8N GitHub Issue - https://github.com/n8n-io/n8n/issues/... 📌 Timestamps: 00:00 Reranking Explained 07:25 n8n Reranker Feature 10:56 Hybrid Search & Reranking