1.4.3 · Lesson 14 of 28
High-performance vector architectures
Design vector retrieval to work at scale. Consider:
WHAT
Design vector retrieval to work at scale.
Consider:
- sharding
- indexing
- replicas
- partitioning
- multi-index architecture
- domain-specific indexes
- hierarchical indexing
OpenSearch
OpenSearch can be used for:
- vector search
- filtering
- hybrid search
- scaling retrieval workloads
Multi-index pattern
Knowledge Base ├── HR index ├── Finance index ├── Legal index └── Engineering index
This can help isolate domains and apply domain-specific policies.
EXAM TRAP
Do not introduce complex sharding/indexing unless scale or workload requirements justify it.
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Key points
- Design vector retrieval to work at scale. Consider:
Exam focus
Do not introduce complex sharding/indexing unless scale or workload requirements justify it.