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web/static/i18n/en-US.json

@@ -2178,11 +2178,27 @@
     "subIndexFilter": "Sub-index filter (optional)",
     "subIndexFilterPlaceholder": "e.g. prod, must match an indexing sub_indexes tag",
     "subIndexFilterHint": "Empty = no filter. When set, only rows whose sub_indexes contain this tag (legacy rows with empty sub_indexes still match).",
+    "ragPipelineHeader": "RAG pipeline (MultiQuery + Rerank)",
+    "ragPipelineHint": "MultiQuery and rerank are always on: LLM query rewrite → vector prefetch & fusion → HTTP rerank → dedupe & budget truncate.",
+    "multiQueryMaxQueries": "MultiQuery rewrite variant limit",
+    "multiQueryMaxQueriesPlaceholder": "4",
+    "multiQueryMaxQueriesHint": "Max LLM-generated retrieval variants (including paraphrases of the original query). Recommended 3–4, max 8.",
+    "rerankProvider": "Rerank provider",
+    "rerankProviderAuto": "Auto (infer from Base URL)",
+    "rerankProviderCohere": "Cohere-compatible API",
+    "rerankProviderHint": "DashScope uses gte-rerank; other compatible endpoints use /v1/rerank. Leave empty to infer from Base URL below.",
+    "rerankModel": "Rerank model (optional)",
+    "rerankModelPlaceholder": "Empty: DashScope→gte-rerank, Cohere→rerank-multilingual-v3.0",
+    "rerankBaseUrl": "Rerank Base URL (optional)",
+    "rerankBaseUrlPlaceholder": "Leave empty to reuse embedding / OpenAI base_url",
+    "rerankApiKey": "Rerank API Key (optional)",
+    "rerankApiKeyPlaceholder": "Leave empty to reuse embedding / OpenAI api_key",
+    "rerankApiKeyHint": "On rerank failure, results fall back to fusion order; search still works.",
     "postRetrieveHeader": "Post-retrieval (dedupe / budget)",
     "postRetrieveDedupeAuto": "Results are always deduped by normalized text (whitespace-collapsed bodies). No setting required.",
     "prefetchTopK": "Prefetch candidates (vector stage)",
-    "prefetchTopKPlaceholder": "0",
-    "prefetchTopKHint": "0 = same as Top-K; larger values fetch more vector hits before dedupe/truncate (max 200).",
+    "prefetchTopKPlaceholder": "20",
+    "prefetchTopKHint": "Vector candidates per MultiQuery variant; 0 uses built-in max(top_k×4, 20) (max 200).",
     "maxContextChars": "Max returned characters (Unicode)",
     "maxContextCharsPlaceholder": "0",
     "maxContextCharsHint": "0 = unlimited; keeps whole chunks in rank order until the budget is exceeded.",

web/static/i18n/zh-CN.json

@@ -2166,11 +2166,27 @@
     "subIndexFilter": "子索引过滤（可选）",
     "subIndexFilterPlaceholder": "如 prod，与索引 sub_indexes 一致",
     "subIndexFilterHint": "留空不过滤；填写后仅检索向量行 sub_indexes 中含该标签的结果（未打标旧行仍保留）。",
+    "ragPipelineHeader": "RAG 管线（MultiQuery + Rerank）",
+    "ragPipelineHint": "MultiQuery 与精排始终启用：LLM 改写多路检索 → 向量预取与融合 → HTTP 精排 → 去重与预算截断。",
+    "multiQueryMaxQueries": "MultiQuery 改写变体上限",
+    "multiQueryMaxQueriesPlaceholder": "4",
+    "multiQueryMaxQueriesHint": "LLM 生成的检索变体数量上限（含原问语义覆盖）；建议 3~4，最大 8。",
+    "rerankProvider": "精排提供商",
+    "rerankProviderAuto": "自动（按 Base URL 推断）",
+    "rerankProviderCohere": "Cohere 兼容 API",
+    "rerankProviderHint": "DashScope 使用 gte-rerank；其他兼容端点走 /v1/rerank。留空时按下方 Base URL 自动推断。",
+    "rerankModel": "精排模型（可选）",
+    "rerankModelPlaceholder": "留空：DashScope→gte-rerank，Cohere→rerank-multilingual-v3.0",
+    "rerankBaseUrl": "精排 Base URL（可选）",
+    "rerankBaseUrlPlaceholder": "留空则复用嵌入 / OpenAI 的 base_url",
+    "rerankApiKey": "精排 API Key（可选）",
+    "rerankApiKeyPlaceholder": "留空则复用嵌入 / OpenAI 的 api_key",
+    "rerankApiKeyHint": "精排失败时自动降级为融合排序，检索仍可用。",
     "postRetrieveHeader": "检索后处理（去重 / 预算）",
     "postRetrieveDedupeAuto": "检索结果会自动按正文规范化去重（合并仅空白不同的重复片段），无需配置。",
     "prefetchTopK": "预取候选数（向量阶段）",
-    "prefetchTopKPlaceholder": "0",
-    "prefetchTopKHint": "0 表示与 Top-K 相同；大于 Top-K 时先多取候选再经去重/截断回到 Top-K（上限 200）。",
+    "prefetchTopKPlaceholder": "20",
+    "prefetchTopKHint": "每条 MultiQuery 变体的向量候选数；0 表示内置 max(top_k×4, 20)（上限 200）。",
     "maxContextChars": "返回内容最大字符数（Unicode）",
     "maxContextCharsPlaceholder": "0",
     "maxContextCharsHint": "0 表示不限制；按检索顺序整段保留 chunk，超出则丢弃后续。",