Build a RAG Agent from Scratch in n8n | Complete Step-by-Step Tutorial

Description

🤖 Learn how to build a complete RAG (Retrieval-Augmented Generation) Agent from scratch using n8n! This comprehensive tutorial covers everything from data ingestion to AI-powered responses. 📚 WHAT YOU'LL LEARN: ✅ Complete RAG architecture explained ✅ Data ingestion and vector indexing ✅ Setting up Pinecone vector database ✅ Implementing embeddings with Cohere ✅ Creating AI agent with Groq LLM ✅ Building query and response pipeline in n8n ✅ End-to-end workflow automation 🔗 ESSENTIAL RESOURCES: 📌 n8n Platform: https://n8n.io/ 📌 Pinecone (Vector Database): https://www.pinecone.io/ 📌 Cohere (Embeddings): https://cohere.com/ 📌 Groq (LLM API): https://console.groq.com/keys 🎓 RAG TUTORIAL SERIES: Watch the complete playlist: https://youtube.com/playlist?list=PL_YSOkuDdgvOp8s_MwfcU1QtYjW0oyKB9&si=Ot5v8hmta7y-g3NP 💻 MY PROFILES: 🔹 GitHub: https://github.com/MahendraMedapati27 - More projects and code 🔹 LinkedIn: https://www.linkedin.com/in/mahendra-medapati-429239289 - Professional connections 🔹 X (Twitter): https://x.com/MahendraM27 - AI discussions and updates 📧 Email: mahendramedapati.r469@gmail.com - Direct contact 🎯 WHO IS THIS FOR? - Developers learning RAG systems - n8n automation enthusiasts - AI/ML practitioners - Anyone building intelligent chatbots - Data engineers working with vector databases 💡 If this tutorial helped you, please like, share, and subscribe for more AI and automation content! #n8n #rag #aiagents #machinelearning #automation #vectordatabases #llm #artificialintelligence #tutorial #pinecones #Cohere #groq #workflowautomation #datascience #aitutorial #retrievalaugmentedgeneration #chatbot #nlp #deeplearning #techtutorial