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chore(rag): 对齐默认向量配置并启用测试
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@@ -60,7 +60,7 @@ spring:
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# rewriteBatchedStatements=true 批处理优化 大幅提升批量插入更新删除性能(对数据库有性能损耗 使用批量操作应考虑性能问题)
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url: jdbc:mysql://127.0.0.1:3306/ruoyi-ai?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true
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username: root
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password: root
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password: 123456
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# agent:
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# url: jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8&autoReconnect=true&rewriteBatchedStatements=true&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true
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# # url: jdbc:mysql://localhost:3306/agent_db
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@@ -301,11 +301,12 @@ warm-flow:
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vector-store:
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# 向量存储类型 可选(weaviate/milvus/qdrant)
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# 如需修改向量库类型,请修改此配置值!
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type: milvus
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# 注意:需与 docker-compose 实际部署的向量库保持一致(当前 compose 内置 weaviate,映射端口 28080)
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type: weaviate
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# Weaviate配置
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weaviate:
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protocol: http
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host: 127.0.0.1:6038
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host: 127.0.0.1:28080
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classname: LocalKnowledge
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# Milvus配置
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milvus:
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