Step-by-Step Guide: Building a RAG Chatbot API with AWS & Bedrock

🚀 Step-by-Step Guide: Building a RAG Chatbot API with AWS & Bedrock

Want to build a powerful AI chatbot using AWS & Amazon Bedrock but don’t know where to start? In this video, we break down the steps behind creating a Retrieval-Augmented Generation (RAG) API!

🔍 What You'll Learn:
✅ What is RAG and how it improves chatbot responses
✅ Key AWS services involved (API Gateway, Lambda, OpenSearch, Bedrock, etc.)
✅ How to structure and store knowledge base data
✅ Retrieval process using OpenSearch, RDS, or DynamoDB
✅ Generating responses with Amazon Bedrock models (Claude, AI21, or Titan)
✅ Securing, scaling, and optimizing your chatbot API

💡 Whether you're a beginner exploring AI or an experienced developer looking to architect a scalable chatbot, this guide will help you understand the entire API flow using AWS services!

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#aws #chatbot #RAG #amazonbedrock #ai #cloudcomputing #apigateway #Lambda #OpenSearch #machinelearning

Видео Step-by-Step Guide: Building a RAG Chatbot API with AWS & Bedrock канала IT Academy