Qdrant hosting
A fast vector database with real filtering, written in Rust.
Qdrant hosting at AIHostBox means a dedicated, single-tenant Qdrant instance on our infrastructure: we install it, pin it to a reviewed release, put it behind TLS on your domain, back it up nightly and keep it patched. Plans start at $5.99 per month and the admin account, the data and any API keys are yours.
Qdrant stores embeddings and finds the nearest ones quickly, with payload filtering that actually works at query time — so “similar documents, but only from this customer and only since March” is one request rather than a post-processing step. Quantization keeps memory use sane as collections grow.
Every instance here is private: your own API key, your own storage, snapshots included in the nightly backup. It sits behind whatever is generating the embeddings — an application plan, a local model, or a commercial embedding API.
Qdrant hosting plans
Every plan is a dedicated single-tenant instance with NVMe storage, nightly off-box backups, TLS and managed patching. Quarterly, semi-annual and annual terms are discounted at checkout. Model tokens are not included — you bring your own key.
How we run Qdrant
The single official Qdrant container (Rust binary) serving REST on 6333 and gRPC on 6334, with collections in /qdrant/storage and snapshots in /qdrant/snapshots on persistent disk; no other services.
What we configure for you
- QDRANT__SERVICE__API_KEY set before the port is reachable
- QDRANT__SERVICE__READ_ONLY_API_KEY for query-only clients
- QDRANT__SERVICE__JWT_RBAC when you want per-collection tokens
- TLS in front of both REST and gRPC endpoints
- Storage and snapshot directories included in the nightly off-box backup
Which plan fits
Starter (2 GB) holds a few hundred thousand 768-dimension vectors in memory, or more with scalar quantization and original vectors kept on disk. Plus (4 GB) takes around a million 768-dimension vectors with quantization; Pro (8 GB) holds that million unquantized with headroom, or several million quantized, larger dimensions and many indexed payload fields.
The honest limits
These are single-node instances, so Qdrant’s distributed mode with sharding and replication across machines is not available. Qdrant stores and searches vectors; you still need something to create the embeddings.
What people run Qdrant for
RAG backbone
The retrieval layer under AnythingLLM, Dify or your own code.
Recommendations
Similar-item lookup with business rules applied in the same query.
Deduplication
Find near-duplicate records across a large corpus.
Licence and version policy
| Item | Position |
|---|---|
| Upstream licence | Apache-2.0 |
| Sold as managed hosting | Yes |
| Tenancy | Single tenant — one customer per instance |
| Patching | Critical advisories within 24 hours, high severity within 72 |
Our full position on licences, including the applications we decline to sell, is on the licensing page.
Reading on Qdrant
Works well with Qdrant
AnythingLLM
A private document workspace — drop files in, ask questions, get cited answers.
from $18.99/moDetails →
Dify
A visual studio for building LLM apps, agents and RAG pipelines.
from $18.99/moDetails →
Flowise
Drag-and-drop LLM flows, agents and chatbots you can embed anywhere.
from $11.99/moDetails →
Crawl4AI
A crawler that returns clean Markdown instead of raw HTML.
from $11.99/moDetails →More Vector & data we host
Weaviate
A vector database with hybrid search and built-in vectorization modules.
from $11.99/moDetails →
Milvus
Vector search built for very large collections.
from $18.99/moDetails →
Chroma
A lightweight embedding store that gets out of the way.
from $5.99/moDetails →
Postgres + pgvector
Vector search inside the database you already trust.
from $5.99/moDetails →Qdrant hosting: your questions
How large a collection fits?
How do I back up or move a collection?
Can I give an application read-only access?
Does it support hybrid keyword and vector search?
Which clients and ports does it use?
Run Qdrant without running a server
A dedicated Qdrant instance, deployed and maintained by us. Month to month, cancel whenever.