The P-Completeness of Inverted Index Traversal: On the Complexity of Evaluating Boolean Query DAGs
Modern AI agents increasingly rely on search infrastructure to execute complex, neuro-symbolic reasoning workflows. These workflows often compile into deeply nested, non-monotonic Boolean queries over text fields. However, standard query evaluation strategies over inverted indices face severe theoretical limits when handling these structures. Stateful iterator models (Document-at-a-Time) are structurally bounded...
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Modern AI agents increasingly rely on search infrastructure to execute complex, neuro-symbolic reasoning workflows. These workflows often compile into deeply nested, non-monotonic Boolean queries over text fields. However, standard query evaluation strategies over inverted indices face severe theoretical limits when handling these structures. Stateful iterator models (Document-at-a-Time) are structurally bounded...
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- Apple Machine Learning ResearchFuente primaria · Respalda · EN · 100%The P-Completeness of Inverted Index Traversal: On the Complexity of Evaluating Boolean Query DAGs ↗
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- The P-Completeness of Inverted Index Traversal: On the Complexity of Evaluating Boolean Query DAGs Observado
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