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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