feat(rag): dense+BM25 hybrid on MilvusClientV2, drop SDK path
Replace legacy MilvusServiceClient knowledge search/write with a single MilvusClientV2 hybrid store (BM25 function + dense ANN + RRFRanker). Use collection biz_hybrid and require knowledge reindex.
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@@ -25,6 +25,8 @@ milvus:
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token: ${MILVUS_TOKEN}
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secure: true
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vector-dim: 1024 # BGE-M3 = 1024,换模型时同步改
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# dense+BM25 hybrid collection (requires reindex; legacy "biz" is not used by knowledge path)
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collection: biz_hybrid
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# =====================================================
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# 模型路由配置
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@@ -162,16 +164,24 @@ rag:
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enabled: false
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content-preview-limit: 300
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# 检索归一化配置
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# 检索配置(单一 Milvus V2 后端;已移除 sdk/spring/auto 路由)
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retrieval:
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kb-scope: "" # empty means search all legacy documents; use rag-eval for eval seed docs
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vector-store:
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mode: auto # auto | spring-ai | sdk
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kb-scope: "" # empty means search all documents in hybrid collection
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search:
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mode: hybrid # dense | hybrid (dense + BM25 RRF)
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hybrid:
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rrf-k: 60
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normalization:
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max-l2-distance: 2.0 # L2 距离上界(BGE-M3 单位向量 = 2.0)
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highly-relevant-threshold: 0.75 # similarity >= 0.75 → HIGHLY_RELEVANT
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reference-threshold: 0.5 # similarity >= 0.5 → REFERENCE
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# RAG 召回宽度(Delivery 1)
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rag:
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retrieve-k: 20
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return-n: 5
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max-chunks-per-document: 2
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# Prometheus 配置
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prometheus:
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base-url: http://localhost:9090
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