VectorDB Index Mode
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Component: Elasticsearch
product-area:search
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Description
Configuring indexes for vector search is often complex, causing users to fall back on standard defaults. The new VectorDB index mode automatically applies vector-optimized settings, including:
- Using bfloat16 encoding
- Excluding _source
- Preloading relevant files into the cache
- Tuning segment merging for vector workloads
Impact: Improves query latency, ranking quality, and computing resource efficiency without requiring manual configuration.
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