Retrieval, freshness, conflict, and grounding
Retrieving candidates is not enough: relevance and freshness must be weighed, conflicts resolved, and traceable evidence assembled.
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The ideas to retain
1. Retrieval is not context assembly
Let \(qt\) be a query derived from the current task. A system can generate candidates through several retrievers:
2. Lexical, semantic, and structured retrieval solve different problems
Semantic retrieval is useful when intent and vocabulary do not match literally. Lexical retrieval preserves signals an embedding may dilute: error codes, proper nouns, identifiers, exact…
3. Fusing rankings does not fuse meaning
Two retrievers may emit incompatible scores.
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