Qdrant
Rust-built open-source vector DB with managed cloud and enterprise options—strong payload filtering, hybrid search, and quantization for tight memory/throughput budgets.
Best for
Open-source, self-hostable vector DB with strong performance and expressive filters—solid pick for small/medium RAG. Cloud offering available too.
Less ideal when
Teams with zero ops capacity, or trivial vector needs where pgvector/SQLite is enough.
When comparing
Vs Weaviate / Milvus / Pinecone: Qdrant is praised for Rust-based speed and filter expressiveness; multi-tenant and cloud maturity keep improving.
Quick checklist
- Decide OSS vs Qdrant Cloud boundary
- Design collection + payload indexes to avoid full scans
- Benchmark recall@k and P95 latency with real data
- Plan backups/snapshots and replication
Search-driven Q&A
What RAG scale fits Qdrant?
From hundreds of thousands to hundreds of millions of vectors. For cross-node writes and strict multi-tenant isolation, consider Qdrant Cloud or benchmark a self-managed cluster first.
When to use it
The summary should help you decide if this tool fits your needs. When many options look similar, consider how often you’ll use it, budget, and data privacy before choosing one.