KCAE.Profiles:1.3 - Structural and multiscale retrieval

Explicit section containment, definitions and references are useful low-cost structure. A generated graph or hierarchy adds inferred relations and its own loss. Use those relations to propose material, then inspect the source support appropriate to the question.

GraphRAG §2.6 selects a community level, shuffles its summaries into bounded contexts, produces intermediate answers, then combines them within a final context budget after helpfulness-based filtering. Its direct source-text map/reduce comparator is also a serious alternative. Prepared communities can amortize repeated broad questions, while preparation, updating and successive compression add burden and loss. The reported answer comparisons do not establish completeness of every summary or resulting answer.

RAPTOR recursively clusters and summarizes material. Its query construction offers both traversal with pruning at successive levels and collapsed-tree retrieval across all levels. The latter can recover a useful node without requiring a successful top-down path, but a selected cross-level set is still not the whole source population. Preserve underlying membership when parent, child or overlapping summaries contribute to one answer. These 2024 sources supply implementable alternatives; KCAE.SEARCH:4.6 supplies the population and aggregation conditions for using their output in a bounded synthesis.

LazyGraphRAG builds noun-phrase co-occurrence communities without advance LLM summaries. At query time it develops subqueries, explores communities through relevance testing, groups relevant source chunks, extracts claims and reduces selected claims to an answer. A relevance-test budget bounds exploration. This shifts preparation toward query-time work and is a serious comparator where advance summary cost is hard to amortize. Its selected claims and stopping condition still need an honest coverage account; deferred interpretation does not eliminate selection loss. The provider’s bounded experiments do not transfer their quality/cost ratios to another corpus.