What you get
- Managed Qdrant on its own dedicated VM.
- A vector database for embeddings and semantic search.
- Reached over HTTPS from your app.
- For RAG, recommendations, and AI features.
- Billed by the hour.
A managed Qdrant vector database on its own dedicated VM for embeddings and semantic search, reached over HTTPS. Create it from the console, the API, or your agent. Hosted in the EU.
Embeddings and semantic search for AI apps, billed by the hour.
Run your embeddings and retrieval on a dedicated Qdrant your agent stands up, next to the rest of your stack.
Your vector store runs on its own machine, physically isolated, and your agent can SSH in to inspect or tune it.
A purpose-built vector database for embeddings, so your RAG pipeline and semantic search run on real infrastructure, not a toy.
Run it next to a managed PostgreSQL and your app on the same cloud, all EU-hosted, all provisioned by your agent.
It runs on its own VM, so it is priced at standard instance rates for that VM size, billed by the hour. New accounts start with £200 in credits, hosted in the EU. See instance pricing for the rates.
Storing embeddings and running similarity search: RAG, semantic search, recommendations, and other AI retrieval workloads.
Managed Qdrant is reached over HTTPS, so your AI app or agent connects to its endpoint and stores or queries vectors.
pgvector keeps embeddings inside the Postgres you already run; Qdrant is a dedicated vector database for larger or search-heavy workloads. redu offers both.
In the EU, in a German data centre, so your data stays within EU jurisdiction.
Point your agent at your project and it provisions a managed Qdrant for your AI features. New accounts start with £200 in credits.
Start building