Cloud docs
Qdrant runs as an HTTPS vector database endpoint for similarity search and retrieval workflows.
Best for: Embeddings, semantic search, recommendations, RAG indexes, and vector similarity workloads.
Go to /cloud, click the database you just created, and the connection panel shows the host, port, username, password, and a ready-to-paste connection string for the engine.
Send the dashboard token as an API key header in your Qdrant client.
Use the https:// endpoint from Quick Connect.
Qdrant HTTP API over HTTPS
Qdrant works with the normal client family for that engine. Start with the dashboard snippet, then move the same URL and credentials into your app environment.
If your client has separate direct, pooled, TLS, or HTTP options, prefer the exact variant shown in Quick Connect.
curl -H "api-key: YOUR_TOKEN" "https://your-host.cloud.layerbase.dev/collections"