feat(ChatKnowledge):chunk add enable_merge parameter (#1014)

Co-authored-by: Aralhi <xiaoping0501@gmail.com>

dbgpt/app/knowledge/service.py

@@ -7,7 +7,7 @@ from dbgpt.model import DefaultLLMClient
 from dbgpt.rag.chunk import Chunk
 from dbgpt.rag.chunk_manager import ChunkParameters
 from dbgpt.rag.embedding.embedding_factory import EmbeddingFactory
-from dbgpt.rag.knowledge.base import KnowledgeType
+from dbgpt.rag.knowledge.base import KnowledgeType, ChunkStrategy
 from dbgpt.rag.knowledge.factory import KnowledgeFactory
 from dbgpt.rag.text_splitter.text_splitter import (
     RecursiveCharacterTextSplitter,
@@ -234,7 +234,7 @@ class KnowledgeService:
                     f" doc:{doc.doc_name} status is {doc.status}, can not sync"
                 )
             chunk_parameters = sync_request.chunk_parameters
-            if "Automatic" == chunk_parameters.chunk_strategy:
+            if chunk_parameters.chunk_strategy != ChunkStrategy.CHUNK_BY_SIZE.name:
                 space_context = self.get_space_context(space_name)
                 chunk_parameters.chunk_size = (
                     CFG.KNOWLEDGE_CHUNK_SIZE

dbgpt/app/static/_next/static/I7dQBXvA2vgamhtZ4dNdp/_buildManifest.js

@@ -0,0 +1 @@
+self.__BUILD_MANIFEST=function(s,c,a,e,t,n,f,d,k,b,h,i,u,j){return{__rewrites:{beforeFiles:[],afterFiles:[],fallback:[]},"/":["static/chunks/29107295-90b90cb30c825230.js",s,c,e,a,f,d,k,h,"static/chunks/861-78929b4f98dbbfd6.js","static/chunks/161-96143606b49cf4a1.js","static/chunks/pages/index-ba9785759e4fc934.js"],"/_error":["static/chunks/pages/_error-dee72aff9b2e2c12.js"],"/agent":[s,c,a,t,f,n,"static/chunks/pages/agent-a2599efbeb46e056.js"],"/chat":["static/chunks/pages/chat-47a20abbae16e858.js"],"/chat/[scene]/[id]":["static/chunks/pages/chat/[scene]/[id]-8df445f91cde33fa.js"],"/database":[s,c,e,a,t,n,k,b,"static/chunks/643-d8f53f40dd3c5b40.js","static/chunks/pages/database-d36f41810fc357a6.js"],"/knowledge":[i,s,c,a,t,f,n,k,u,b,h,"static/chunks/10-f02ccef88f814547.js","static/chunks/pages/knowledge-f3c914cac944c089.js"],"/knowledge/chunk":[s,e,t,d,n,"static/chunks/pages/knowledge/chunk-652744b9d90c26c9.js"],"/models":[i,s,c,e,a,j,b,"static/chunks/pages/models-1145859ba0e2f20a.js"],"/prompt":[s,c,e,a,j,d,u,"static/chunks/346-b0aea1c99abd6f1e.js","static/chunks/607-2dedaf19149304c0.js","static/chunks/pages/prompt-fca5ed813d5018b1.js"],sortedPages:["/","/_app","/_error","/agent","/chat","/chat/[scene]/[id]","/database","/knowledge","/knowledge/chunk","/models","/prompt"]}}("static/chunks/113-15fc0b8bd2b5b9a1.js","static/chunks/17-d6c52cecd9ecc451.js","static/chunks/479-33b3ebe9be79a971.js","static/chunks/9-bb2c54d5c06ba4bf.js","static/chunks/442-197e6cbc1e54109a.js","static/chunks/813-cce9482e33f2430c.js","static/chunks/553-a89ad624ca0f1ffa.js","static/chunks/810-84757da754c6f3fc.js","static/chunks/411-b5d3e7f64bee2335.js","static/chunks/928-74244889bd7f2699.js","static/chunks/234-42f62dc360b2d9e4.js","static/chunks/75fc9c18-a784766a129ec5fb.js","static/chunks/45-9ff739c09925ea35.js","static/chunks/947-5980a3ff49069ddd.js"),self.__BUILD_MANIFEST_CB&&self.__BUILD_MANIFEST_CB();

dbgpt/app/static/_next/static/ZbyASIrV2Qi_gF86DN3uR/_buildManifest.js

@@ -1 +0,0 @@
-self.__BUILD_MANIFEST=function(s,c,a,e,t,n,d,f,b,k,h,i,u,j){return{__rewrites:{beforeFiles:[],afterFiles:[],fallback:[]},"/":["static/chunks/29107295-90b90cb30c825230.js",s,c,e,a,d,f,b,h,"static/chunks/861-78929b4f98dbbfd6.js","static/chunks/161-96143606b49cf4a1.js","static/chunks/pages/index-ba9785759e4fc934.js"],"/_error":["static/chunks/pages/_error-dee72aff9b2e2c12.js"],"/agent":[s,c,a,t,d,n,"static/chunks/pages/agent-a2599efbeb46e056.js"],"/chat":["static/chunks/pages/chat-47a20abbae16e858.js"],"/chat/[scene]/[id]":["static/chunks/pages/chat/[scene]/[id]-8df445f91cde33fa.js"],"/database":[s,c,e,a,t,n,b,k,"static/chunks/643-d8f53f40dd3c5b40.js","static/chunks/pages/database-d36f41810fc357a6.js"],"/knowledge":[i,s,c,a,t,d,n,b,u,k,h,"static/chunks/450-bd680f0e37e9b4b9.js","static/chunks/pages/knowledge-b9300e7addf1931f.js"],"/knowledge/chunk":[s,e,t,f,n,"static/chunks/pages/knowledge/chunk-652744b9d90c26c9.js"],"/models":[i,s,c,e,a,j,k,"static/chunks/pages/models-1145859ba0e2f20a.js"],"/prompt":[s,c,e,a,j,f,u,"static/chunks/346-b0aea1c99abd6f1e.js","static/chunks/607-2dedaf19149304c0.js","static/chunks/pages/prompt-fca5ed813d5018b1.js"],sortedPages:["/","/_app","/_error","/agent","/chat","/chat/[scene]/[id]","/database","/knowledge","/knowledge/chunk","/models","/prompt"]}}("static/chunks/113-15fc0b8bd2b5b9a1.js","static/chunks/17-d6c52cecd9ecc451.js","static/chunks/479-33b3ebe9be79a971.js","static/chunks/9-bb2c54d5c06ba4bf.js","static/chunks/442-197e6cbc1e54109a.js","static/chunks/813-cce9482e33f2430c.js","static/chunks/553-a89ad624ca0f1ffa.js","static/chunks/810-84757da754c6f3fc.js","static/chunks/411-b5d3e7f64bee2335.js","static/chunks/928-74244889bd7f2699.js","static/chunks/234-42f62dc360b2d9e4.js","static/chunks/75fc9c18-a784766a129ec5fb.js","static/chunks/45-9ff739c09925ea35.js","static/chunks/947-5980a3ff49069ddd.js"),self.__BUILD_MANIFEST_CB&&self.__BUILD_MANIFEST_CB();

dbgpt/rag/chunk_manager.py

@@ -45,6 +45,10 @@ class ChunkParameters(BaseModel):
         default="\n",
         description="chunk separator",
     )
+    enable_merge: bool = Field(
+        default=None,
+        description="enable chunk merge by chunk_size.",
+    )
 
 
 class ChunkManager:
@@ -134,4 +138,5 @@ class ChunkManager:
             chunk_size=self._chunk_parameters.chunk_size,
             chunk_overlap=self._chunk_parameters.chunk_overlap,
             separator=self._chunk_parameters.separator,
+            enable_merge=self._chunk_parameters.enable_merge,
         )

dbgpt/rag/knowledge/base.py

@@ -47,8 +47,18 @@ class ChunkStrategy(Enum):
     CHUNK_BY_SIZE = (
         RecursiveCharacterTextSplitter,
         [
-            {"param_name": "chunk_size", "param_type": "int", "default_value": 512},
+            {
-            {"param_name": "chunk_overlap", "param_type": "int", "default_value": 50},
+                "param_name": "chunk_size",
+                "param_type": "int",
+                "default_value": 512,
+                "description": "The size of the data chunks used in processing.",
+            },
+            {
+                "param_name": "chunk_overlap",
+                "param_type": "int",
+                "default_value": 50,
+                "description": "The amount of overlap between adjacent data chunks.",
+            },
         ],
         "chunk size",
         "split document by chunk size",
@@ -56,13 +66,33 @@ class ChunkStrategy(Enum):
     CHUNK_BY_PAGE = (PageTextSplitter, [], "page", "split document by page")
     CHUNK_BY_PARAGRAPH = (
         ParagraphTextSplitter,
-        [{"param_name": "separator", "param_type": "string", "default_value": "\n"}],
+        [
+            {
+                "param_name": "separator",
+                "param_type": "string",
+                "default_value": "\\n",
+                "description": "paragraph separator",
+            }
+        ],
         "paragraph",
         "split document by paragraph",
     )
     CHUNK_BY_SEPARATOR = (
         SeparatorTextSplitter,
-        [{"param_name": "separator", "param_type": "string", "default_value": "\n"}],
+        [
+            {
+                "param_name": "separator",
+                "param_type": "string",
+                "default_value": "\\n",
+                "description": "chunk separator",
+            },
+            {
+                "param_name": "enable_merge",
+                "param_type": "boolean",
+                "default_value": False,
+                "description": "Whether to merge according to the chunk_size after splitting by the separator.",
+            },
+        ],
         "separator",
         "split document by separator",
     )
@@ -80,6 +110,7 @@ class ChunkStrategy(Enum):
         self.description = description
 
     def match(self, *args, **kwargs):
+        kwargs = {k: v for k, v in kwargs.items() if v is not None}
         return self.value[0](*args, **kwargs)
 
 

dbgpt/rag/text_splitter/text_splitter.py

@@ -682,6 +682,7 @@ class SeparatorTextSplitter(CharacterTextSplitter):
 
     def __init__(self, separator: str = "\n", filters: list = [], **kwargs: Any):
         """Create a new TextSplitter."""
+        self._merge = kwargs.pop("enable_merge") or False
         super().__init__(**kwargs)
         self._separator = separator
         self._filter = filters
@@ -696,7 +697,9 @@ class SeparatorTextSplitter(CharacterTextSplitter):
             splits = text.split(separator)
         else:
             splits = list(text)
-        return self._merge_splits(splits, separator, chunk_overlap=0, **kwargs)
+        if self._merge:
+            return self._merge_splits(splits, separator, chunk_overlap=0, **kwargs)
+        return list(filter(None, text.split(separator)))
 
 
 class PageTextSplitter(TextSplitter):

web/app/i18n.ts

@@ -61,7 +61,6 @@ const resources = {
       recall_score: 'recall_score',
       Set_a_threshold_score: 'Set a threshold score for the retrieval of similar vectors',
       recall_type: 'recall_type',
-      Recall_Type: 'recall type',
       model: 'model',
       A_model_used: 'A model used to create vector representations of text or other data',
       Automatic: 'Automatic',
@@ -239,12 +238,11 @@ const resources = {
       Please_select_a_file: '请上传一个文件',
       Please_input_the_text: '请输入文本',
       Embedding: '嵌入',
-      topk: '球',
+      topk: 'TopK',
       the_top_k_vectors: '基于相似度得分的前 k 个向量',
       recall_score: '召回分数',
       Set_a_threshold_score: '设置相似向量检索的阈值分数',
-      recall_type: '回忆类型',
+      recall_type: '召回类型',
-      Recall_Type: '回忆类型',
       model: '模型',
       A_model_used: '用于创建文本或其他数据的矢量表示的模型',
       Automatic: '自动切片',

web/components/knowledge/arguments-modal.tsx

@@ -47,7 +47,7 @@ export default function ArgumentsModal({ space, argumentsShow, setArgumentsShow
           </Form.Item>
         </Col>
         <Col span={12}>
-          <Form.Item<IArguments> tooltip={t(`Recall_Type`)} rules={[{ required: true }]} label={t('recall_type')} name={['embedding', 'recall_type']}>
+          <Form.Item<IArguments> tooltip={t(`recall_type`)} rules={[{ required: true }]} label={t('recall_type')} name={['embedding', 'recall_type']}>
             <Input className="mb-5  h-12" />
           </Form.Item>
         </Col>

web/components/knowledge/strategy-form.tsx

@@ -1,5 +1,5 @@
 import { IChunkStrategyResponse } from '@/types/knowledge';
-import { Alert, Form, FormListFieldData, Input, InputNumber, Radio, RadioChangeEvent } from 'antd';
+import { Alert, Checkbox, Form, FormListFieldData, Input, InputNumber, Radio, RadioChangeEvent } from 'antd';
 import { useState } from 'react';
 import { useTranslation } from 'react-i18next';
 const { TextArea } = Input;
@@ -25,7 +25,7 @@ export default function StrategyForm({ strategies, docType, fileName, field }: I
   const [selectedStrategy, setSelectedStrategy] = useState<string>();
   const { t } = useTranslation();
   const DEFAULT_STRATEGY = {
-    strategy: t('Automatic'),
+    strategy: 'Automatic',
     name: t('Automatic'),
     desc: t('Automatic_desc'),
   };
@@ -50,17 +50,30 @@ export default function StrategyForm({ strategies, docType, fileName, field }: I
         {parameters?.map((param) => (
           <Form.Item
             key={`param_${param.param_name}`}
-            label={`${param.param_name}: ${param.param_type}`}
+            label={param.param_name}
             name={[field!.name, 'chunk_parameters', param.param_name]}
             rules={[{ required: true, message: t('Please_input_the_name') }]}
             initialValue={param.default_value}
+            valuePropName={param.param_type === 'boolean' ? 'checked' : 'value'}
+            tooltip={param.description}
           >
-            {param.param_type === 'int' ? <InputNumber className="w-full" min={1} /> : <TextArea className="w-full" rows={2} maxLength={6} />}
+            {renderParamByType(param.param_type)}
           </Form.Item>
         ))}
       </div>
     );
   }
+
+  function renderParamByType(type: string) {
+    switch (type) {
+      case 'int':
+        return <InputNumber className="w-full" min={1} />;
+      case 'string':
+        return <TextArea className="w-full" rows={2} />;
+      case 'boolean':
+        return <Checkbox />;
+    }
+  }
   return (
     <>
       <Form.Item name={[field!.name, 'chunk_parameters', 'chunk_strategy']} initialValue={DEFAULT_STRATEGY.strategy}>

web/types/knowledge.ts

@@ -82,6 +82,7 @@ export type IStrategyParameter = {
   param_name: string;
   param_type: string;
   default_value?: string | number;
+  description: string;
 };
 
 export type IChunkStrategyResponse = {