新闻
Why moving embedding inside turbopuffer drops search latency
turbopuffer · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Turbopuffer added native embedding to reduce search latency by parallelizing embedding with query execution instead of serializing them.
- 为何重要
- Matters for engineers building semantic search systems who want lower query latency without managing separate embedding infrastructure.
- 注意
- Native embedding trades off well for frequent re-embedding workloads but loses efficiency when reusing embeddings across queries or namespaces.
- embedding
- latency
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