AI-powered hotel booking agent
Mohsin Sheikhani
Bedrock Agent for Hotel Booking - AI Assistant with Tools, Action Groups & RAG with Knowledge Bases
This project simulates how hotel chains can offer smarter, AI-powered booking experiences using Amazon Bedrock Agents.
Built with Claude, Knowledge Bases, and Lambda-based Action Groups, this assistant can:
Respond to queries about different types of rooms
Check room availability for specific dates
Book the selected room for the user
This mirrors how real-world hospitality companies are integrating conversational AI to reduce support load and improve bookings, with backend automation and retrieval-augmented generation (RAG).
What the Agent Can Do
User Request Tool/Action Used Backend Resource "What types of hotel rooms do you have?" Bedrock Knowledge Base (RAG) Hotel details PDF in S3 "Is the sea-facing room available this weekend?" Action Group 1 (Lambda) Room Inventory Table in DynamoDB "Book it for me" Action Group 2 (Lambda) Booking Table in DynamoDB
This Bedrock Agent uses a combination of LLM reasoning, RAG, and real-time actions:
Components Description
1. Bedrock Knowledge Base (RAG)
Purpose: Handles general inquiries about hotel room types
Data Source: Hotel details stored as PDF in Amazon S3
Technology: Uses Retrieval-Augmented Generation (RAG) model
2. Action Group 1 (Lambda)
Purpose: Checks room availability
Data Source: Room Inventory Table in DynamoDB
Functionality: Verifies availability of specific room types for requested dates
3. Action Group 2 (Lambda)
Purpose: Processes booking requests
Data Source: Booking Table in DynamoDB
Functionality: Creates and manages booking records
4. Data Storage
Amazon S3: Stores static hotel information documents (PDF format)
DynamoDB:
Room Inventory Table: Tracks available rooms and their attributes
Booking Table: Maintains reservation records
What’s Provisioned via AWS CDK
Resource Purpose 2 DynamoDB Tables One for availability lookup, one for confirmed bookings 2 Lambda Functions Used as Bedrock Agent tools (defined via OpenAPI) S3 Bucket Stores hotel room descriptions (PDF format) used for retrieval AWS IAM Roles & Policies Give Lambdas access to DynamoDB, S3
How the Rest Was Set Up
Everything Bedrock-related agent creation, knowledge base setup, tool registration, and OpenAPI integration was done manually via the AWS Console. You’ll find a full walkthrough of that process in this article
Deploying the Infra
Once deployed:
Upload your hotel PDF into the hotel-assets bucket
Demo
🙋♂️ Contact
Created by Mohsin Sheikhani
From Code to Cloud | Hands-on Cloud Architect | AWS Community Builder | Serverless | Infrastructure as Code (IaC) | Systems Design | Event-Driven Designs | GenAI | Agentic AI | Bedrock Agents | 3x AWS Certified
🚀 Follow me on LinkedIn for more AWS content!
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Posted Sep 9, 2025
Hotel booking agent using Amazon Bedrock, Lambda, and DynamoDB. Built with AWS CDK (TypeScript) and guided by real-world customer experience workflows.
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Timeline
Jun 1, 2025 - Jun 30, 2025
