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AIP-C01 · Study Guide

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

1.5.4 · Lesson 20 of 28

Advanced search and reranking

Improve retrieval relevance beyond basic vector similarity.

WHAT

Improve retrieval relevance beyond basic vector similarity.

Keyword search

Good for:

  • exact names
  • IDs
  • product codes
  • legal terms
  • error codes

Vector search

Good for:

  • semantic meaning
  • paraphrases
  • conceptual similarity

Hybrid search

Combine both:

Query
 ├── Keyword Search
 └── Vector Search
          ↓
      Combined Results
          ↓
       Reranker
          ↓
     Final Context

Reranking

A reranker evaluates retrieved candidates and reorders them by relevance.

AWS

  • Amazon OpenSearch Service
  • Amazon Bedrock reranking capabilities
  • Bedrock Knowledge Bases

EXAM TRAP

If exact terms matter, pure semantic search may not be enough.

Hybrid retrieval can be better.

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Key points

  • Improve retrieval relevance beyond basic vector similarity.

Exam focus

If exact terms matter, pure semantic search may not be enough. Hybrid retrieval can be better.

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