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Vector Search & Content Filtering
Flow for semantic search using vector embeddings, from query to filtered results.
Flow Steps
User Submits Search Query
Frontend
Generate Query Embedding
Embedding Service
Vector Similarity Search
Vector DB
Filter & Rank Results
Search Service
Return Results
API Response
Additional Edge Cases
- Embedding model version mismatch
- Vector DB index corruption
- Very large result sets
Failure Recovery
Version embeddings with model version. Monitor index health. Paginate large result sets. Fallback to keyword search if vector search fails.