US06: VectorSearch
6 Scenarios
User Story
Scenario: Search by query embedding (cosine similarity)
Given a query "Find properties related to user authentication"
When query is embedded and searched
#UAC01
Then search should use cosine similarity operator
#UAC02
And results should be ordered by similarity (closest first)
#UAC03
And top 10 results should be returned
Scenarios
SC01: Search by query embedding (cosine similarity)
1 testsUAC: 01, 02, 03
SC02: Filter search by Property discriminator
1 testsUAC: 04, 05
SC03: Apply distance threshold
1 testsUAC: 06, 07
SC04: Include Property details in search results
1 testsUAC: 08, 09, 10
SC05: Validate embedding dimensions
1 testsUAC: 11, 12
SC06: Search across all entity types
1 testsUAC: 13, 14