Qdrant 提供免费的向量数据库 — 为 AI 应用提供闪电般快速的相似性搜索

Qdrant is a high-performance vector search engine built in Rust for AI applications. The free tier offers 1GB of storage and supports various vector search methods, including cosine similarity, dot product, and Euclidean distance. Users can combine vector searches with metadata filters and perform hybrid searches with sparse vectors. The multi-tenancy feature isolates data, while quantization reduces memory usage by 4-32 times. Additionally, Qdrant provides snapshot functionality for backing up and restoring collections. High-performance REST and gRPC APIs, along with SDKs for Python, JavaScript, and Go, facilitate integration and usage for developers.