Qdrant vector database preinstalled and ready, with the REST API fronted on port 80 by nginx with an api-key header guard. A per-instance API key is generated on first boot. Backed by 24/7 cloudimg support.
## Qdrant Vector Database by cloudimg
Qdrant is an open source vector similarity search engine written in Rust that stores high-dimensional vectors with rich payloads and serves them through a fast HTTP and gRPC API. It is widely used as the storage tier for retrieval-augmented generation, semantic search, recommendation systems and any workload that needs nearest-neighbour lookups on embeddings. This Amazon Machine Image delivers Qdrant fully installed and configured, so a complete vector database is running within minutes of launch.
## Database Stack
Qdrant runs as a systemd service in single-node mode. The Rust-native binary carries no separate runtime dependency. The REST API is fronted on port 80 by an nginx reverse proxy with an api-key header guard. Vector data lives on a dedicated, independently resizable EBS data volume.
## Secure First Boot
On the first boot of every instance a one-shot service generates a fresh Qdrant API key, unique to that instance, writes it into the Qdrant environment file, restarts Qdrant so the new key is applied, and stores the plain-text value in a root-only file. No shared or default credentials ship in the image.
## Ready To Use
Send a request to the instance address with your api-key header to start creating collections, upserting vectors and running nearest-neighbour searches.
## cloudimg Support
cloudimg provides 24/7 technical support for this image, covering Qdrant deployment, upgrades, collection design, indexing parameters and performance tuning.