In the news
Why moving embedding inside turbopuffer drops search latency
turbopuffer · Published · 3 min read
In 30 seconds
- What happened
- Turbopuffer added native embedding to reduce search latency by parallelizing embedding with query execution instead of serializing them.
- Why it matters
- Matters for engineers building semantic search systems who want lower query latency without managing separate embedding infrastructure.
- Watch out
- 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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