Unverified50% confidenceSolutionExact time
The tree index works by splitting long documents into leaf nodes, summarizing adjacent leaf node content to generate parent nodes that aggregate layer by layer to form a summary tree, and during retrieval traversing top-down from the root node to locate text segments.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
Unverified父子块策略将文档同时索引为大块和小块，检索时用小块精准定位，生成时返回大块提供完整上下文71% similarUnverifiedAn inverted index maps terms to the list of documents containing those terms and is the core data structure of full-text search engines.64% similarVerifiedRAG通过将文档切分为语义块后经嵌入模型转化为高维向量存入向量数据库，查询时通过近似最近邻（ANN）搜索找到语义最相近的文档片段63% similarUnverifiedDolt uses a data structure called Prolly Tree (Probabilistic B-Tree) to store table data, combining the query efficiency of a B-tree with the versioning characteristics of a content-addressed Merkle Tree, enabling structured diff comparisons in logarithmic time complexity.63% similarUnverifiedTools such as LangSmith, Langfuse, and Weights & Biases Weave provide structured trace storage, where each trace contains a Span tree structure recording inputs, outputs, latency, token consumption, and metadata.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/963431API
curl https://kongchang.com/api/v1/knowledge/claims/963431MCP
get_claim(id=963431)