Qdrant's written in Rust for a reason — it's built for low-latency search at scale, and it's a common choice for teams that want to self-host without operating something as heavyweight as a full search cluster. We handle the collection design, filtering, and deployment tuning that determine whether that performance shows up in production.
Self-hosting gives you control — but only if it's configured for your workload.
Collection and payload design tuned to keep query latency low as vector count and filter complexity grow.
Self-hosted on your own infra or Qdrant Cloud — deployed and tuned to your latency, cost, and data residency requirements.
Payload indexing and filter design so combined vector-plus-filter queries stay fast instead of degrading as data grows.
Retrieval and re-ranking wired into your LLM application and tested against real queries, not a demo dataset.
Scoped to your latency and deployment requirements.
Structuring collections and indexed payload fields around your actual query and filter patterns.
Docker or Kubernetes deployment, sharding, and scaling for teams that need full infrastructure control.
HNSW parameter tuning and quantization to balance recall, latency, and memory footprint for your dataset size.
Connecting Qdrant to your LLM stack for retrieval-augmented generation and semantic search.
If you want full control over infrastructure and cost at scale, or need to self-host for data residency reasons, Qdrant is a strong fit. If you'd rather have zero infrastructure to manage, a fully managed option like Pinecone is simpler. We look at your ops capacity and scale before recommending either.
It depends on deployment complexity — a managed Qdrant Cloud integration costs less upfront than a self-hosted, sharded deployment with custom filtering. We give a fixed estimate after a short scoping call.
High-throughput semantic search, RAG systems with heavy metadata filtering, recommendation engines, and any workload where low query latency at scale matters and you want to self-host.
Tell us what you're building and what's in your current pipeline — we'll scope an approach and a fixed estimate.