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coding-agent
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GraphRAG增强版_20260920
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research
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course-scoring
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teaching-slices-scored.csv

teaching-slices-scored.csv 1.9 KB
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  1. id,title,business_rep,technical_rep,prerequisite_count,difficulty,independent_run,verifiability,reuse,minutes,must_keep,evidence,score,classification
    2. 

  2. 5.1,5.1 图检索的价值与整体架构,5,5,0,2,4,5,5,45,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,95.60,core-practice
    3. 

  3. 5.2,5.2 Neo4j 基础与 Cypher 入门,5,5,1,2,4,5,5,70,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,93.60,core-practice
    4. 

  4. 5.3,5.3 企业知识图谱建模与案例数据,5,5,2,2,4,5,5,75,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,91.60,core-practice
    5. 

  5. 5.4,5.4 图存储模块与工程配置,5,5,3,4,4,5,5,75,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,86.40,core-practice
    6. 

  6. 5.5,5.5 从企业文档构建知识图谱,5,5,4,4,4,5,5,100,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    7. 

  7. 5.6,5.6 实体标准化与问题实体定位,5,5,4,4,4,5,5,60,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    8. 

  8. 5.7,5.7 一跳与多跳图检索,5,5,4,4,4,5,5,90,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    9. 

  9. 5.8,5.8 从图路径回到原文证据,5,5,4,4,4,5,5,75,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    10. 

  10. 5.9,5.9 图检索与 Milvus 多路召回融合,5,5,4,4,4,5,5,90,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    11. 

  11. 5.10,5.10 基于图证据生成回答,5,5,4,4,4,5,5,60,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    12. 

  12. 5.11,5.11 图谱更新、知识域过滤与异常降级,5,5,4,4,4,5,5,75,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    13. 

  13. 5.12,5.12 全链路运行与对照实验,5,5,4,4,4,5,5,85,true,course-source-to-lesson-ledger.csv;graph_qa/data/questions.json,84.40,core-practice
    14.