Deploy the Solution

Deploy the Solution

In this section, we will clone the MeetAssist repository and deploy the complete infrastructure using AWS CDK.

Step 1: Clone the Repository

Clone the repository from GitHub:

git clone https://github.com/AWS-Vinhomes-Chatbot/MeetAssist
cd MeetAssist

Step 2: Build the Dashboard

Before deploying the CDK application, we need to build the frontend dashboard.

cd frontend

Install dependencies

Run the following command to install all necessary libraries:

npm i

Build the Dashboard

After the installation is complete, run the build command:

npm run build

Once the process completes, a dist directory will be created, containing the index.html file and the assets folder.

Return to project root

Use this command to return to the project’s root folder:

cd ..

Step 3: Deploy the CDK Application

Deploy the CDK application. It will take about 20-30 minutes to deploy all of the resources.

cdk bootstrap aws://{{account_id}}/ap-northeast-1 
cdk deploy --all

If you receive an error at this step, please ensure Docker is running on the local host or laptop.

Replace {{account_id}} with your actual AWS Account ID. You can find it by running:

aws sts get-caller-identity --query Account --output text

Step 4: Initialize the Database with Embeddings

After the CDK deployment completes, you must run the DataIndexer Lambda function to populate the embeddings table with database schema information.

Use the following AWS CLI command:

aws lambda invoke \
  --function-name DataIndexerStack-DataIndexerFunction \
  --invocation-type Event \
  response.json \
  --region ap-northeast-1

The DataIndexer function generates vector embeddings of your database schema, which enables the chatbot to understand and query your data using natural language.

Step 5: Verify Deployment

After completing all the steps above, your environment is fully deployed and initialized.

You can verify the deployment by checking:

  1. CloudFormation Stacks: All stacks should show CREATE_COMPLETE status
  2. outputs.json file: Contains important URLs and IDs for your deployment
  3. S3 Buckets: Dashboard assets should be uploaded
  4. Lambda Functions: All functions should be created and ready

Next Steps

Now you can proceed to:

  • Configure the Facebook Messenger integration (Section 5.7)
  • Set up the Admin Dashboard (Section 5.8)
  • Start using the MeetAssist chatbot (Section 5.9)