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1Evaluate this claim: 'Cosine similarity and normalized dot product always produce identical rankings.' What subtlety do candidates often miss here?ExpertHigh 2Many candidates assume increasing ef at query time always improves recall with only a linear latency cost. What's misleading about that assumption?ExpertHigh 3Why is 'just add more RAM' not always a valid answer to a Qdrant performance question in a system design interview?ExpertHigh 4A candidate claims that quantization always speeds up search. Under what conditions might quantization with rescoring actually be slower than searching un-quantized vectors?ExpertHigh 5Why can two identical-looking filter queries - one using an indexed field, one using an equivalent but unindexed field - have wildly different performance, even though they return the same results?ExpertHigh 6At billion-point scale, how would your indexing and sharding strategy differ from a design that works fine at ten million points?ExpertHigh 7How would you architect a system to gracefully degrade - rather than fail outright - when a burst of traffic exceeds provisioned Qdrant capacity?ExpertHigh 8What are the limits of a purely payload-filter-based multitenancy model, and at what point would you need to introduce dedicated shards or collections per tenant instead?ExpertHigh 9How would you approach re-embedding a multi-billion-point production collection with a new embedding model with zero search downtime?ExpertHigh 10When designing a retrieval system that combines dense, sparse, and multivector reranking at extreme scale, what's the single biggest cost driver you'd optimize first, and why?ExpertHigh 11If you were asked to design Qdrant's filtered-HNSW search from scratch, what core problem would you need to solve, and what naive approach would you reject first?ExpertHigh

All Topics

1

Setup and Basic Use

2

Named Vectors and Multitenancy

Sparse Vectors and Hybrid Search

3

Snapshots and Backups

Indexing Internals

Internal Architecture

4

Performance and Optimisation

System Design and Scalability

5

Error Handling and Debugging

Design Patterns

Implementation Scenarios