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AIP-C01 · Study Guide

← Domain 1: Foundation Model Integration, Data Management, and Compliance

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.

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