Merge pull request #1606 from langbot-app/feat/topk_splitter

Feat/topk splitter

web/src/i18n/locales/en-US.ts

@@ -255,6 +255,11 @@ const enUS = {
     today: 'Today',
     kbName: 'Knowledge Base Name',
     kbDescription: 'Knowledge Base Description',
+    topK: 'Top K',
+    topKRequired: 'Top K cannot be empty',
+    topKMax: 'Top K maximum value is 30',
+    topKdescription:
+      'Used to specify the number of relevant documents to retrieve, ranging from 1 to 30.',
     defaultDescription: 'A knowledge base',
     embeddingModelUUID: 'Embedding Model',
     selectEmbeddingModel: 'Select Embedding Model',

web/src/i18n/locales/ja-JP.ts

@@ -257,6 +257,11 @@ const jaJP = {
     today: '今日',
     kbName: '知識ベース名',
     kbDescription: '知識ベースの説明',
+    topK: 'Top K',
+    topKRequired: 'Top Kは必須です',
+    topKMax: 'Top Kの最大値は30です',
+    topKdescription:
+      '取得する関連性の高い上位K件の文書の数。1～30の範囲で設定できます',
     defaultDescription: '知識ベース',
     embeddingModelUUID: '埋め込みモデル',
     selectEmbeddingModel: '埋め込みモデルを選択',

web/src/i18n/locales/zh-Hans.ts

@@ -250,6 +250,10 @@ const zhHans = {
     today: '今天',
     kbName: '知识库名称',
     kbDescription: '知识库描述',
+    topK: '召回数量',
+    topKRequired: '召回数量不能为空',
+    topKMax: '召回数量最大值为 30',
+    topKdescription: '召回相关文档块的数量，取值范围为 1-30',
     defaultDescription: '一个知识库',
     embeddingModelUUID: '嵌入模型',
     selectEmbeddingModel: '选择嵌入模型',