向量数据库

向量数据库对比

Feature	Chroma	Pinecone	Weaviate	Faiss	Qdrant	Milvus	PGVector
Open-source	✅	❎	✅	✅	✅	✅	✅
Primary Use Case	LLM Apps Development	Managed Vector Database for ML	Scalable Vector Storage and Search	High-Speed Similarity Search and Clustering	Vector Similarity Search	High-Performance AI Search	Adding Vector Search to PostgreSQL
Integration	LangChain, LlamaIndex	LangChain	OpenAI, Cohere, HuggingFace	Python/NumPy, GPU Execution	OpenAPI v3, Various Language Clients	TensorFlow, PyTorch, HuggingFace	Built into PostgreSQL ecosystem
Scalability	Scales from Python notebooks to clusters	Highly scalable	Seamless scaling to billions of objects	Capable of handling sets larger than RAM	Cloud-native with horizontal scaling	Scales to billions of vectors	Depends on PostgreSQL setup
Search Speed	Fast similarity searches	Low-latency search	Milliseconds for millions of objects	Fast, supports GPU	Custom HNSW algorithm for rapid search	Optimized for low-latency search	Approximate Nearest Neighbor (ANN)
Data Privacy	Supports multi-user with data isolation	Fully managed service	Emphasizes security and replication	Primarily for research and development	Advanced filtering on vector payloads	Secure multi-tenant architecture	Inherits PostgreSQL’s security
Programming Language	Python, JavaScript	Python	Python, Java, Go, others	C++, Python	Rust	C++, Python, Go	PostgreSQL extension (SQL-based)

 

来自：The Top 7 Vector Databases in 2025

 

Open source vector databases

Faiss      Chroma     Milvus  Qdrant   Weaviate  pgvector   Cassandra    Redis  Valkey  CockroachDB