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

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

Join our friendly community where we explore and bring AI Automation to life with Vibe Coding for Business Accelerate. Come along, learn how to save time and money, or even start earning more today! https://go.jahidh.me/baa-community Need Help with Your Business? Let's Discuss: https://go.jahidh.me/calendar Learn More: https://businessacceleratorai.co/ Business Inquiry - hello@jahidh.me —————————————————— 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