Filtered Vector Search Strategy: Applying Filters to Vector Queries in Azure AI Search
Filtered vector search in Azure AI Search combines vector similarity with metadata filtering. Pre-filtering reduces the candidate set before scoring, potentially lowering latency but risking recall loss. Post-filtering preserves recall but may return fewer results. Testing both modes is essential to find the right trade-off for your data.
Azure AI Search / vector search / filtered vector search / hybrid search / pre-filter / post-filter / semantic ranker / metadata filtering