Incremental Indexing
An index update strategy for large-scale retrieval systems that computes embeddings only for newly ingested or changed documents and appends them to the index structure, greatly reducing update cost compared with full rebuilds. It introduces index consistency complexity, requiring a trade-off between index freshness and system stability. In ANN indexes, updating and deleting old passages often requires a compromise of soft deletion plus periodic merging.
Timeline (last 90 days)
Incremental indexing and lazy loading are the core strategies for mitigating the cost of building graphs for large-scale codebases, making Beads feasible in large monorepos, but lazy loading brings trade-offs at subgraph boundaries.
增量索引的做法包括维护文档hash检测变更、采用蓝绿部署切换索引版本、建立文档血缘关系图追踪下游依赖
All Facts (2)
Incremental indexing and lazy loading are the core strategies for mitigating the cost of building graphs for large-scale codebases, making Beads feasible in large monorepos, but lazy loading brings trade-offs at subgraph boundaries.
50%Unverified增量索引的做法包括维护文档hash检测变更、采用蓝绿部署切换索引版本、建立文档血缘关系图追踪下游依赖
50%