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wiki/entities/Qdrant.md

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----
-title: "Qdrant"
-type: entity
-tags: [vector-database, rag, rust, open-source]
-sources: ["RAG从入门到精通系列1：基础RAG"]
-last_updated: 2026-04-16
----
-
-## Basic Information
-- **Type**: Vector Database
-- **Source**: RAG从入门到精通系列1：基础RAG
-
-## Definition
-Qdrant is an open-source vector database written in Rust, designed for storing and searching high-dimensional embedding vectors with high performance.
-
-## Key Features
-- **Written in Rust**: High performance and memory safety
-- **Vector Search**: Supports similarity search with various metrics
-- **Open Source**: Freely available for self-hosting
-- **RAG Integration**: Commonly used as the vector store in RAG pipelines
-
-## Technical Details
-- Implements various similarity comparison methods for embedding vectors
-- Supports Top-k retrieval (returning k most similar results)
-- Can store metadata alongside vectors
-
-## Related Concepts
-- [[向量数据库]]：Qdrant is a specific vector database implementation
-- [[Embedding]]：Qdrant stores embedding vectors
-- [[RAG]]：Qdrant serves as the storage layer in RAG systems
-- [[LangChain]]：LangChain can integrate with Qdrant as a vector store
-
-## Related Entities
-- [[BAAI]]：Embedding models that feed data into Qdrant
-- [[Qwen]]：LLM that queries Qdrant via retrieval