Unverified90% confidenceFactTime unknown
LangChain的ExampleSelector常用实现包括SemanticSimilarityExampleSelector（基于向量数据库检索最相似示例）和LengthBasedExampleSelector（根据Token预算动态调整示例数量）
1
Sources
90%
Confidence
Long-term
Relevance
6/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn LangGraph, routing is implemented through conditional edges using the .add_conditional_edges() method to register routing functions; when a list of node names is returned, tasks are dispatched in parallel via fan-out and results are aggregated via fan-in.60% similarUnverified列表操作节点的过滤逻辑支持「在」与「不在」两种判断方式，可多选目标类型59% similarUnverified等价类划分法将输入数据划分为有效等价类（对应正向流程）和无效等价类（对应反向异常）59% similarUnverified查询路由的实现方式分为三个层次：基于规则的正则匹配、基于轻量分类模型的意图预测、基于LLM的动态路由58% similarUnverifiedVector retrieval relies on vector databases for fuzzy matching and cannot precisely express structural relationships, whereas graph retrieval uses graph databases as the storage medium and is specifically optimized for multi-hop traversal queries.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/40053API
curl https://kongchang.com/api/v1/knowledge/claims/40053MCP
get_claim(id=40053)