# AI: Using RAG-Based Enquiry Assistant using Vector Database

### 🧩 Enhanced Learning Objectives:

* Apply RAG principles using Amazon Bedrock’s agent and knowledge base
* Integrate real-time data sources (e.g., DynamoDB) with static knowledge (e.g., CSV in S3)
* Build a RESTful backend using AWS Lambda and API Gateway
* Create a responsive chatbot frontend using React and Chatbotify
* Deploy and secure the application using S3 and CloudFront