fix: fix summary index bug.

api/core/llm_generator/prompts.py

@@ -435,7 +435,19 @@ You should edit the prompt according to the IDEAL OUTPUT."""
 
 INSTRUCTION_GENERATE_TEMPLATE_CODE = """Please fix the errors in the {{#error_message#}}."""
 
-DEFAULT_GENERATOR_SUMMARY_PROMPT = """
-You are a helpful assistant that summarizes long pieces of text into concise summaries. 
-Given the following text, generate a brief summary that captures the main points and key information. 
-The summary should be clear, concise, and written in complete sentences. """
+DEFAULT_GENERATOR_SUMMARY_PROMPT = (
+    """Summarize the following content. Extract only the key information and main points. """
+    """Remove redundant details.
+
+Requirements:
+1. Write a concise summary in plain text
+2. Use the same language as the input content
+3. Focus on important facts, concepts, and details
+4. If images are included, describe their key information
+5. Do not use words like "好的", "ok", "I understand", "This text discusses", "The content mentions"
+6. Write directly without extra words
+
+Output only the summary text. Start summarizing now:
+
+"""
+)

api/services/dataset_service.py

@@ -965,6 +965,9 @@ class DatasetService:
             else:
                 raise ValueError("Invalid index method")
             dataset.retrieval_model = knowledge_configuration.retrieval_model.model_dump()
+            # Update summary_index_setting if provided
+            if knowledge_configuration.summary_index_setting is not None:
+                dataset.summary_index_setting = knowledge_configuration.summary_index_setting
             session.add(dataset)
         else:
             if dataset.chunk_structure and dataset.chunk_structure != knowledge_configuration.chunk_structure:
@@ -1070,6 +1073,9 @@ class DatasetService:
                     if dataset.keyword_number != knowledge_configuration.keyword_number:
                         dataset.keyword_number = knowledge_configuration.keyword_number
             dataset.retrieval_model = knowledge_configuration.retrieval_model.model_dump()
+            # Update summary_index_setting if provided
+            if knowledge_configuration.summary_index_setting is not None:
+                dataset.summary_index_setting = knowledge_configuration.summary_index_setting
             session.add(dataset)
             session.commit()
             if action:

api/services/entities/knowledge_entities/rag_pipeline_entities.py

@@ -116,6 +116,7 @@ class KnowledgeConfiguration(BaseModel):
     embedding_model: str = ""
     keyword_number: int | None = 10
     retrieval_model: RetrievalSetting
+    summary_index_setting: dict | None = None
 
     @field_validator("embedding_model_provider", mode="before")
     @classmethod