From 0252d52425e5d096fb8c25872822f7a97508f82c Mon Sep 17 00:00:00 2001 From: admin Date: Fri, 11 Sep 2026 16:47:00 +0800 Subject: [PATCH] =?UTF-8?q?fix(r4-28v3):=20=E6=A3=80=E7=B4=A2=E6=A8=A1?= =?UTF-8?q?=E5=BC=8F=E5=85=B3=E9=97=AD=E5=9B=BE=E8=AF=81=E6=8D=AE=E6=A3=80?= =?UTF-8?q?=E7=B4=A2(use=5Fneo4j),arginine=20150s->=E4=BA=9A=E7=A7=92?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit r3(2026-09-10 #28)检索模式语义只关了 native_chain,漏关 use_neo4j (graph 证据种子检索,graph_top_k=80):arginine 向量候选过 0.45 后照常 启动 13M 断言库图查询 150s+(TL 实测:关 neo4j 后 0.787s)。 强制块置于所有 ablation 解析之后,用户 ablation 不得重开图检索 (性能红线);use_graph_expansion 依赖 use_neo4j 一并显式关。 chat 模式不受影响。 Co-Authored-By: Claude Fable 5 --- agent/qa/src/rag/qa_v1_1_73/pipeline.py | 11 ++++++- .../qa/src/rag/qa_v1_1_73/test_score_gate.py | 30 +++++++++++++++++++ 2 files changed, 40 insertions(+), 1 deletion(-) diff --git a/agent/qa/src/rag/qa_v1_1_73/pipeline.py b/agent/qa/src/rag/qa_v1_1_73/pipeline.py index 8e787c6..c5b3f17 100644 --- a/agent/qa/src/rag/qa_v1_1_73/pipeline.py +++ b/agent/qa/src/rag/qa_v1_1_73/pipeline.py @@ -1293,10 +1293,19 @@ class QAV1Pipeline: if retrieval_only: # 缺陷 #28 回改 v2（2026-09-11）：检索模式绝不产生答案——无条件 # 关闭草稿/规划/最终 LLM（不看 llm.available；LLM 调用纯浪费且 - # 拖慢 search）。仍返回 top30 证据与 native 图链。 + # 拖慢 search）。仍返回 top30 向量证据。 use_draft = False use_planner = False use_final_llm = False + # 缺陷 #28 回改 v3（2026-09-11）：检索模式只走 Qdrant 向量—— + # r3 语义补完。图证据种子检索（use_neo4j，graph_top_k=80）在 + # 13M 边库上 150s+（TL 实测 arginine 150s+ vs 关 neo4j 后 + # 0.787s），不可接受。use_graph_expansion 依赖 use_neo4j 一并 + # 显式关（本块在所有 ablation 解析之后：检索模式用户 ablation + # 不得重开图检索——性能红线）。native_graph_chains 空数组在 + # search 分支已安全。 + use_neo4j = False + use_graph_expansion = False t0 = time.perf_counter() if use_draft: diff --git a/agent/qa/src/rag/qa_v1_1_73/test_score_gate.py b/agent/qa/src/rag/qa_v1_1_73/test_score_gate.py index bc82e64..6fb5f76 100644 --- a/agent/qa/src/rag/qa_v1_1_73/test_score_gate.py +++ b/agent/qa/src/rag/qa_v1_1_73/test_score_gate.py @@ -212,6 +212,36 @@ def test_search_mode_no_llm_no_rerank_keeps_good_only(): assert src["final_score"] == src["vector_score"] +def test_search_mode_use_neo4j_forced_off(): + """回改 v3：search 模式 retriever 收到的检索选项 use_neo4j=False + （r3 语义补完——图证据种子检索在 13M 边库上 150s+，检索模式只走 Qdrant）。 + """ + p = _make_pipeline("legacy") + out = p.answer( + "arginine biosynthesis", + retrieval_only=True, + native_chain_enabled=False, + progress_callback=None, + ) + kwargs = p._retriever_stub.last_kwargs + assert kwargs["use_neo4j"] is False + assert kwargs["use_graph_expansion"] is False # 依赖 use_neo4j 一并关 + assert kwargs["use_qdrant"] is True + # 即使 ablation 显式开图检索，检索模式也不得重开（性能红线） + p2 = _make_pipeline("legacy") + out2 = p2.answer( + "arginine biosynthesis", + retrieval_only=True, + native_chain_enabled=False, + ablation={"retrieval": {"use_neo4j": True, "use_graph_expansion": True}}, + progress_callback=None, + ) + kwargs2 = p2._retriever_stub.last_kwargs + assert kwargs2["use_neo4j"] is False + assert kwargs2["use_graph_expansion"] is False + assert out2["success"] is True + + def test_chat_mode_passes_no_threshold(): p = _make_pipeline("legacy") object.__setattr__(p.config, "enable_bge_rerank", False)