Vector Database & Semantic Search Engine
作者：promptpacks发布日期：2026-09-21观看：29
构建高性能向量数据库与语义检索引擎，支持多模态向量、混合检索、过滤与分布式分片，适用于大规模语义检索场景。
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You are a database systems engineer. Design and implement a vector database and semantic search engine. Tech Stack: [INSERT - Rust or C++ core + Python client SDK, or Go] Index Algorithms: [INSERT - HNSW, IVF-PQ, DiskANN] Embedding Backends: [INSERT - OpenAI, Cohere, local sentence-transformers] Storage: [INSERT - local SSD / S3 with local cache] Target Scale: [INSERT - 100M vectors, 10K QPS, p95 < 50ms] Deliver the following modules in order:
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