Databases
Qdrant for semantic search and AI
The Qdrant vector database for RAG, semantic search and AI applications. Deployment, backup, scaling and integration with your embedding pipeline.
Ask about QdrantPricing from 399 zł net/mo
For whom
RAG / LLM apps
Semantic search
Recommendations
AI teams without infrastructure
What you get
Managed Qdrant
Backup and snapshots
Monitoring
Scaling / replica
Embedding pipeline integration (option)
Packages and pricing
Prices net per month, starting proposalsDla dużych kolekcji i GPU/embedding — wycena indywidualna.
For HA — a quote after a short assessment. Add-ons (1h backup, PITR, read replica, migration) are quoted clearly before deployment.
Why it's worth it
Why it's worth handing this to us
A production DB is more than data
Parameters, backup, replication and monitoring decide performance and safety.
Backup you can actually restore
24h/1h backup and restore tests, not an unchecked file.
Single → HA path
Start cheaper and scale to HA as risk grows.
In every package
The standard you don't pay extra for
Backup and restore
24h backup by default, 1h backup and PITR optional, restore on demand and recovery tests.
Monitoring and alerts
Metrics, logs and alerts matched to your risk — you know about an issue before a customer reports it.
Security and access
SSL/TLS, access restrictions, RBAC, hardening and private networks and VPN.
Deployments and updates
GitOps, Helm, CI/CD, maintenance windows and prepared rollback procedures.
Locations PL / FR / DE / USA
We pick the region for latency, cost and EU compliance.
Documentation and care
Environment description, runbook, emergency procedures and contact with a technical person.
Managed vs in-house
Why managed costs less than an in-house hire
A single in-house specialist rarely covers 24/7, backup, monitoring and SLA at once. Here's a realistic comparison.
Your own specialist (in-house)
One salary = one person
A senior admin/DevOps is a full employer cost of ~18–25k zł/mo — and it's still just one person.
Available 8–16
Working hours, holidays, sick leave and weekends. A night outage waits until morning.
Backup on their shoulders
Separate tooling and storage cost; restore tests often skipped.
No formal SLA
No one guarantees response time; knowledge sits in one head (bus factor).
Tools and training
Monitoring, licenses, certs and training add to the salary.
FAQ
Qdrant or pgvector?
Depends on scale and requirements. pgvector fits well for smaller collections inside an existing PostgreSQL; Qdrant for larger collections and faster search.