Introduction
Understand vector search with Qdrant on Google Axion
Create a Google Axion C4A Arm virtual machine
Install and run Qdrant on Axion
Generate and index vector embeddings
Query vector embeddings with semantic search
Build a chatbot with Qdrant on Axion
Understand the vector search architecture
Next Steps
In this section you’ll create a Google Axion C4A arm64 virtual machine on Google Cloud Platform. You’ll use the c4a-standard-4 machine type, which provides 4 vCPUs and 16 GB of memory. This virtual machine hosts your Qdrant applications.
For help with GCP setup, see the Learning Path Getting started with Google Cloud Platform .
To create a virtual machine based on the C4A instance type:
C4A.c4a-standard-4 for machine type.
Configuring machine type to C4A in Google Cloud Console
After the instance starts, select SSH next to the VM in the instance list to open a browser-based terminal session.
Connecting to a running C4A VM using SSH
A new browser window opens with a terminal connected to your VM.
Terminal session connected to the VM
In this section:
Your virtual machine is now ready to host Qdrant.