Unverified50% confidenceOpinionExact time
When the corpus size exceeds the window capacity, multiple rounds of querying are needed, or answer traceability is required, retrieval remains irreplaceable.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
Related Entities
Related Claims
UnverifiedMulti-hop queries need to traverse multiple information nodes in a step-by-step manner, and vector retrieval is ill-suited for such scenarios due to its lack of a relational dimension.79% similarUnverifiedThe bottleneck of single-pass retrieval stems from vector similarity search compressing the user query into a single high-dimensional vector; when a question contains multiple semantic directions, this vector becomes an average of multiple semantics, causing sub-intents to be insufficiently represented.76% similarUnverifiedTrue schema-less ingestion defers type inference and field parsing to the query phase, at the cost of additional parsing overhead at query time, placing higher demands on query engine performance.74% similarUnverifiedFull-text search typically relies on inverted index technology to achieve millisecond-level retrieval response.73% similarUnverifiedRelying solely on vector similarity retrieval often yields imprecise recall, necessitating a hybrid retrieval approach that combines keyword-based retrieval.73% similar
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