perf: rrf code (#5558)

.gitignore

@@ -38,5 +38,3 @@ files/helm/fastgpt/charts/*.tgz
 tmp/
 tmp/
 coverage
 coverage
 document/.source
 document/.source
-
-bun.lock
\ No newline at end of file

document/content/docs/toc.mdx

@@ -101,6 +101,7 @@ description: FastGPT 文档目录
 - [/docs/upgrading/4-12/4120](/docs/upgrading/4-12/4120)
 - [/docs/upgrading/4-12/4120](/docs/upgrading/4-12/4120)
 - [/docs/upgrading/4-12/4121](/docs/upgrading/4-12/4121)
 - [/docs/upgrading/4-12/4121](/docs/upgrading/4-12/4121)
 - [/docs/upgrading/4-12/4122](/docs/upgrading/4-12/4122)
 - [/docs/upgrading/4-12/4122](/docs/upgrading/4-12/4122)
+- [/docs/upgrading/4-12/4123](/docs/upgrading/4-12/4123)
 - [/docs/upgrading/4-8/40](/docs/upgrading/4-8/40)
 - [/docs/upgrading/4-8/40](/docs/upgrading/4-8/40)
 - [/docs/upgrading/4-8/41](/docs/upgrading/4-8/41)
 - [/docs/upgrading/4-8/41](/docs/upgrading/4-8/41)
 - [/docs/upgrading/4-8/42](/docs/upgrading/4-8/42)
 - [/docs/upgrading/4-8/42](/docs/upgrading/4-8/42)

document/content/docs/upgrading/4-12/4123.mdx

+---
+title: 'V4.12.3(进行中)'
+description: 'FastGPT V4.12.3 更新说明'
+---
+
+  
+## 🚀 新增内容
+
+
+## ⚙️ 优化
+
+1. 纠正 RRF 权重合并算法，使用标准 RRF 权重公式。
+
+## 🐛 修复
+
+
+## 🔨 工具更新

document/content/docs/upgrading/4-12/meta.json

 {
 {
   "title": "4.12.x",
   "title": "4.12.x",
   "description": "",
   "description": "",
-  "pages": ["4122", "4121", "4120"]
+  "pages": ["4123", "4122", "4121", "4120"]
 }
 }

document/data/doc-last-modified.json

@@ -41,7 +41,7 @@
   "document/content/docs/introduction/guide/DialogBoxes/htmlRendering.mdx": "2025-07-23T21:35:03+08:00",
   "document/content/docs/introduction/guide/DialogBoxes/htmlRendering.mdx": "2025-07-23T21:35:03+08:00",
   "document/content/docs/introduction/guide/DialogBoxes/quoteList.mdx": "2025-07-23T21:35:03+08:00",
   "document/content/docs/introduction/guide/DialogBoxes/quoteList.mdx": "2025-07-23T21:35:03+08:00",
   "document/content/docs/introduction/guide/admin/sso.mdx": "2025-07-24T13:00:27+08:00",
   "document/content/docs/introduction/guide/admin/sso.mdx": "2025-07-24T13:00:27+08:00",
-  "document/content/docs/introduction/guide/admin/teamMode.mdx": "2025-07-24T13:00:27+08:00",
+  "document/content/docs/introduction/guide/admin/teamMode.mdx": "2025-08-27T16:59:57+08:00",
   "document/content/docs/introduction/guide/course/ai_settings.mdx": "2025-07-24T13:00:27+08:00",
   "document/content/docs/introduction/guide/course/ai_settings.mdx": "2025-07-24T13:00:27+08:00",
   "document/content/docs/introduction/guide/course/chat_input_guide.mdx": "2025-07-23T21:35:03+08:00",
   "document/content/docs/introduction/guide/course/chat_input_guide.mdx": "2025-07-23T21:35:03+08:00",
   "document/content/docs/introduction/guide/course/fileInput.mdx": "2025-07-23T21:35:03+08:00",
   "document/content/docs/introduction/guide/course/fileInput.mdx": "2025-07-23T21:35:03+08:00",
@@ -104,7 +104,7 @@
   "document/content/docs/upgrading/4-11/4111.mdx": "2025-08-07T22:49:09+08:00",
   "document/content/docs/upgrading/4-11/4111.mdx": "2025-08-07T22:49:09+08:00",
   "document/content/docs/upgrading/4-12/4120.mdx": "2025-08-12T22:45:19+08:00",
   "document/content/docs/upgrading/4-12/4120.mdx": "2025-08-12T22:45:19+08:00",
   "document/content/docs/upgrading/4-12/4121.mdx": "2025-08-15T22:53:06+08:00",
   "document/content/docs/upgrading/4-12/4121.mdx": "2025-08-15T22:53:06+08:00",
-  "document/content/docs/upgrading/4-12/4122.mdx": "2025-08-26T23:51:54+08:00",
+  "document/content/docs/upgrading/4-12/4122.mdx": "2025-08-27T00:31:33+08:00",
   "document/content/docs/upgrading/4-8/40.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/40.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/41.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/41.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/42.mdx": "2025-08-02T19:38:37+08:00",
   "document/content/docs/upgrading/4-8/42.mdx": "2025-08-02T19:38:37+08:00",

packages/global/core/dataset/search/utils.ts

@@ -18,7 +18,7 @@ export const datasetSearchResultConcat = (
 
 
     item.list.forEach((data, index) => {
     item.list.forEach((data, index) => {
       const rank = index + 1;
       const rank = index + 1;
-      const score = (weight * 1) / (60 + rank);
+      const score = weight * (1 / (60 + rank));
       const record = map.get(data.id);
       const record = map.get(data.id);
       if (record) {
       if (record) {
         // 合并两个score,有相同type的score,取最大值
         // 合并两个score,有相同type的score,取最大值
@@ -64,8 +64,9 @@ export const datasetSearchResultConcat = (
       });
       });
     }
     }
 
 
-    // @ts-ignore
-    delete item.rrfScore;
-    return item;
+    return {
+      ...item,
+      rrfScore: undefined
+    };
   });
   });
 };
 };

packages/service/core/dataset/search/controller.ts

@@ -849,22 +849,16 @@ export async function searchDatasetData(
     }
     }
   })();
   })();
 
 
-  // embedding recall and fullText recall rrf concat
-  const embWeight = embeddingWeight; // 向量索引的 weight 大小
-  const fullTextWeight = 1 - embeddingWeight; // 全文索引的 weight 大小
-
   const rrfSearchResult = datasetSearchResultConcat([
   const rrfSearchResult = datasetSearchResultConcat([
-    { weight: embWeight, list: embeddingRecallResults },
-    { weight: fullTextWeight, list: fullTextRecallResults }
+    { weight: embeddingWeight, list: embeddingRecallResults },
+    { weight: 1 - embeddingWeight, list: fullTextRecallResults }
   ]);
   ]);
   const rrfConcatResults = (() => {
   const rrfConcatResults = (() => {
     if (reRankResults.length === 0) return rrfSearchResult;
     if (reRankResults.length === 0) return rrfSearchResult;
     if (rerankWeight === 1) return reRankResults;
     if (rerankWeight === 1) return reRankResults;
 
 
-    const searchWeight = 1 - rerankWeight; // 搜索结果的 weight 大小
-
     return datasetSearchResultConcat([
     return datasetSearchResultConcat([
-      { weight: searchWeight, list: rrfSearchResult },
+      { weight: 1 - rerankWeight, list: rrfSearchResult },
       { weight: rerankWeight, list: reRankResults }
       { weight: rerankWeight, list: reRankResults }
     ]);
     ]);
   })();
   })();