Chatbot Setup with Amazon Lex & Bedrock

AI is no longer just about using pre-built models. It’s time to build a true AI-powered knowledge assistant that can converse with your own documents and generate answers based on internal organizational knowledge. In this session, we’ll build an end-to-end RAG (Retrieval Augmented Generation) architecture: ✅ Upload your PDF documents to S3 ✅ Vectorize documents using Titan Embeddings and make them searchable on OpenSearch Serverless ✅ Generate intelligent responses powered by Amazon Bedrock (Anthropic Claude) ✅ Build a chatbot with Amazon Lex to deliver a natural conversational experience ✅ Finally, clean up all resources and jointly perform cost control 🎯 Topic: Chatbot Setup with Amazon Lex & Bedrock (An assistant that answers questions from PDFs using RAG) 🗓️ Date: Monday, December 29, 2025 🕚 Time: 11:00 – 12:30 (TR) 📍 Location: Online **[Click Here to Register!](https://us06web.zoom.us/meeting/register/9xPKAjQsTkuLYvHwcoXoDw)** Organizers: Oğuzhan Hızıroğlu (AWS Ambassador, AWS Community Builder, AWS Golden Jacket Winner) Refia Kayaalp (AWS Golden Jacket Winner) At the end of the event, we’ll jointly test whether the chatbot generates meaningful answers from PDFs stored in S3—for example, when asked “Is a visa required for Mars?” **With Love and Respect** **Yonetim.Academy**