Grokking the AI System Design Interview
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Hybrid Search and Reranking
Vector Search Alone Is Not Enough
Embedding retrieval can struggle with exact identifiers, even when it performs well on meaning-based questions.
That weakness is exact tokens: the literal words, IDs, and codes sitting inside a query.
Ask "what does error E4022 mean?" Ask "summarize ticket JIRA-8871." Ask "what's the SLA in the Acme contract?"
Similarity alone may not distinguish the exact ticket, error code, or contract requested.
Here is why. Semantic search matches by meaning
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