Database / Qdrant Vector DB Interview questions
What is Qdrant?
Qdrant (pronounced "quadrant") is an open-source vector database and similarity search engine written in Rust, purpose-built for storing high-dimensional vector embeddings and running fast approximate nearest neighbor search over them, alongside rich metadata filtering.
It ships as a single, statically linked binary that exposes both a REST API and a gRPC API, and it can run as a single standalone instance for development or as a distributed, sharded, and replicated cluster for production workloads — the same binary handles both deployment modes.
Qdrant is commonly used as the retrieval layer behind semantic search, recommendation systems, and retrieval-augmented generation (RAG) pipelines, where an application needs to quickly find the vectors most similar to a query vector while also filtering results by structured metadata like category, date, or user ID.
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