Unverified50% confidenceFactExact time
The citation process of answer engines roughly has three steps: retrieval first (splitting pages into chunks and embedding them into vector space, retrieving relevant passages), grounding verification (cross-checking passages against the query and other sources), and freshness weighting (favoring content recently corroborated by multiple parties).
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50%
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Long-term
Relevance
10/13/2026
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UnverifiedThe specific approach in the third stage includes retaining source text, masking more local cues, supervising selected targets, and maintaining predictive capability on regularly masked inputs.67% similarUnverifiedFor simple document Q&A, vector retrieval with reliable citations may already be sufficient; building ontologies and knowledge graphs is more likely to pay off only when problems involve cross-system entities, multiple relationships, historical states, compliance rules, and accountability tracing.65% similarUnverifiedIn multi-hop questions, answers are scattered across multiple documents and require finding clue A before knowing to look for clue B; the agent loop transforms retrieval from a one-time action into a repeatedly executable tool call.65% similarUnverifiedThree checks carry most of the evaluation work: comparing actual step counts against expected ranges, where runs that hit the step limit are cleanly separated from runs that finish in four steps; checking tool calls, where tools that were called but returned no usable result, and tools that should have been triggered but never were, have nowhere to hide; and checking the trajectory, i.e. the action sequence, which catches reruns, skipped steps and loops.65% similarUnverifiedThe reranking module typically uses a cross-encoder model to compute relevance scores between queries and documents, performing a secondary ranking of the candidate documents from the initial retrieval.65% similar
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