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向量資料庫

Vector databases store and search high-dimensional embeddings for RAG, semantic search, and recommendation systems. This topic covers indexing, hybrid search, latency, recall, scaling, and cost, along with implementation tradeoffs across systems like Qdrant, Milvus, Weaviate, and Rust-based designs.

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