I built a RAG-Powered AI Sales Agent with n8n | Complete Vector Database Tutorial

Published: 17 April 2025
on channel: Automation Learners
197
like

Get all workflows to accelerate your business or start your AI Automation agency:
https://go.jahidh.me/community

Get this template: https://jahidhme.gumroad.com/

Buy hosting through our affiliate link and get agency website design (FREE):
https://go.jahidh.me/bluehost-wp
Send your invoice to get it for FREE: [email protected]

My software, tools, & deals (some give me kickbacks—thank you!)
Try n8n: https://go.jahidh.me/n8n
Apify (Free $5): https://go.jahidh.me/apify
Lifetime deal on Appsumo: https://go.jahidh.me/Appsumo

Useful Tools I use daily:
Screen Recorder (Best): https://go.jahidh.me/screen-recorder
Auto Captions: https://go.jahidh.me/submagic

Business Inquiry - [email protected]

——————————————————
X: https://x.com/imJahidH
Instagram:   / m.jahidh.me  
LinkedIn:   / jahidh-me  


Building a RAG-Powered AI Sales Agent with n8n: Complete Vector Database Tutorial

Learn to build an AI sales assistant using n8n's automation platform in this tutorial. I'll guide you in integrating n8n with Pinecone and Vectorize.io to create an effective Retrieval Augmented Generation (RAG) system for customer inquiries.

This n8n tutorial shows how to use the OpenAI API for natural language processing and the Google Gemini API for image analysis, integrated through a Telegram bot interface. Learn how n8n connects these services into an automated workflow.

What We Have Learned:
✅ Creating advanced n8n workflows for AI orchestration
✅ Setting up and querying Pinecone and Vectorize.io vector databases
✅ Integrating OpenAI API with proper prompting techniques
✅ Implementing Google Gemini Vision API for image analysis
✅ Building responsive Telegram bots through n8n
✅ Extracting text from images using OCR
✅ Troubleshooting database connection challenges
✅ Comparing vector database performance and capabilities


Time Stamps:
01:36 - What will we learn
02:13 - Pinecone Demo
06:17 - Vectorize.io Demo
11:07 - Community Update
11:28 - Live Build
32:29 - Pinecone Database Update
38:07 - Setting up Vectorize io
43:41 - RAG agent using vectorize io
47:40 - Final Thought

Hashtags:
#RAG #n8n #VectorDatabase #AIAgent #RetrievalAugmentedGeneration #WorkflowAutomation #OpenAI #GenerativeAI #PineconeDB #GeminiAPI #TelegramBot #VectorizeIO #LLMIntegration #AIAssistant #NoCodeAI #SemanticSearch #AutomatedSales #AIWorkflow #KnowledgeRetrieval #MultiModalAI #ContextualAI #CustomerSupportAI #VectorSearch #LowCodeAutomation #EnterpriseLLM #AIImplementation #APIIntegration #AIChatbot #SalesAutomation #DigitalAssistant #AIToolchain #AutomatedSupport #EmbeddingVectors #ConversationalAI #AISalesBot #TelegramAutomation #LLMWorkflow #ImageRecognition #OCRTechnology #ProductDatabaseAutomation

Keywords:
retrieval augmented generation, n8n workflow automation, vector database implementation, autonomous AI agent, OpenAI API integration, Google Gemini Vision API, AI sales assistant, multi-modal AI system, Pinecone vector database, no-code AI solution, Vectorize.io integration, Telegram bot development, semantic search implementation, LLM-powered automation, enterprise knowledge base, contextual AI response, conversational AI agent, vector embedding search, AI chatbot development, automated customer support, low-code AI implementation, knowledge retrieval system, workflow integration platform, AI agent orchestration, business process automation, generative AI solution, prompt engineering, RAG implementation tutorial, vector search queries, enterprise AI solution, self-learning AI agent, API orchestration, knowledge management AI, conversational workflow, AI data retrieval


Watch video I built a RAG-Powered AI Sales Agent with n8n | Complete Vector Database Tutorial online without registration, duration hours minute second in high quality. This video was added by user Automation Learners 17 April 2025, don't forget to share it with your friends and acquaintances, it has been viewed on our site 197 once and liked it like people.