AI-powered hotel booking agent

Mohsin Sheikhani

Completed work

AI Agent Developer

Cloud Infrastructure Architect

Software Engineer

Amazon DynamoDB

AWS

AWS Lambda

Artificial Intelligence

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

git clone https://github.com/mohsinsheikhani/bedrock-hotel-booking-agent.git
cd bedrock-hotel-booking-agent
npm install
cdk deploy

Once deployed:

Upload your hotel PDF into the hotel-assets bucket

And follow the article: Hands-On with Amazon Bedrock Agents: Hotel Booking Assistant with Action Groups and Knowledge Bases

Demo

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Completed work

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