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#AI #chatbot #gemini Build a fully functional, bilingual AI chatbot using Google Gemini and RAG (Retrieval-Augmented Generation) – fully integrated with your website. / @attiladeri4817 In this video, I walk you through the complete process of setting up a production-ready chatbot that understands your site content, answers user questions in both English and Hungarian, remembers the conversation, and even provides smart navigation links. Whether you're a developer, a business owner, or a tech enthusiast, you'll learn how to: ✅ Create a custom knowledge base from your website ✅ Convert it into a vector database for semantic search ✅ Use Google Gemini for natural language understanding and translation ✅ Deploy your backend securely with Vercel ✅ Embed the chatbot seamlessly on your own site ✅ Handle multilingual queries with dynamic, memory-aware responses ✅ Add smart links that guide users to relevant pages on your site Main Features: – Bilingual (English & Hungarian) with separate memory per language – Secure serverless backend with Gemini API integration – Customizable persona and fallback logic – Interactive link generation based on project references – Easy integration with your existing website UI and language switcher 🧠 Powered by Google Gemini (gemini-1.5-flash-latest) ☁️ Deployed using Vercel's serverless architecture 📁 Full source code and installation instructions: https://github.com/accaderi/RAG-chatb...