Qdrant
Breaks down where Qdrant sits in a RAG pipeline, what vector retrieval and metadata filtering actually solve, and which engineering pieces a self-hosted deployment still needs in production.
Qdrant is an open-source vector database used for RAG, semantic search, recommendation and similar-content retrieval. It stores vectors, builds indexes and runs similarity queries with metadata filtering, which suits teams needing self-hosting and controllable permissions. It offers stability and data control, yet knowledge-base question answering will not work by itself: chunking, embeddings and reranking remain your design work.
