1.4.2 · Lesson 13 of 28
Metadata frameworks
Store metadata alongside chunks/embeddings. Examples:
WHAT
Store metadata alongside chunks/embeddings.
Examples:
- document ID
- author
- department
- creation date
- update date
- product
- region
- access classification
- document type
WHY
Metadata improves:
- filtering
- relevance
- access control
- freshness
- context awareness
Example
{
"document_id": "policy-123",
"department": "finance",
"region": "us",
"updated_at": "2026-08-01",
"classification": "internal"
}AWS
- Amazon S3 metadata/tags
- OpenSearch metadata
- DynamoDB
- Bedrock Knowledge Bases metadata/filtering patterns
EXAM TRAP
Semantic similarity alone may return a semantically similar but unauthorized or outdated document.
Metadata filters can address those dimensions.
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Key points
- filtering
- relevance
- access control
- freshness
- context awareness
Exam focus
Focus on requirement-driven choices and common architecture traps.