Merge branch 'release/v0.3.2' into feature/rag2

* release/v0.3.2: (245 commits)
  fix(conversation_schema): refine citations field type to Dict[str, Any]
  fix(tool_controller): re-raise HTTPException to preserve original status codes
  fix(workflow): add reasoning content, suggested questions, citations and audio status support
  feat(workflow): augment logging queries and ameliorate error handling
  fix(api_key): bypass publication check for SERVICE type API keys
  fix(multimodal_service): add '文档内容:' prefix to document text and simplify image placeholder text
  fix(api): convert config_id to string in write_router
  fix(api): convert end_user_id to string in write_router
  fix(multimodal_service): refactor image processing to use intermediate list before extending result
  fix(web): node status ui
  fix(api): correct import paths in memory_read and celery task command
  fix(api): correct import paths in memory_read and celery task command
  refactor(tool): flatten request body parameters for model exposure
  fix(api): correct import paths in memory_read and celery task command
  refactor(workflow): streamline node execution handling and log service logic
  feat(web): http request add process
  feat(web): workflow app logs
  fix(app_chat_service,draft_run_service): move system_prompt augmentation before LangChainAgent instantiation
  fix(app_chat_service,draft_run_service): move system_prompt augmentation before LangChainAgent instantiation
  refactor(http_request): simplify request handling and remove unused fields
  ...

# Conflicts:
#	api/app/controllers/file_controller.py
#	api/app/tasks.py
This commit is contained in:
Mark
2026-04-27 16:13:57 +08:00
342 changed files with 13546 additions and 4400 deletions

View File

@@ -457,10 +457,10 @@ async def retrieve_chunks(
match retrieve_data.retrieve_type:
case chunk_schema.RetrieveType.PARTICIPLE:
rs = vector_service.search_by_full_text(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.similarity_threshold, file_names_filter=retrieve_data.file_names_filter)
return success(data=rs, msg="retrieval successful")
return success(data=jsonable_encoder(rs), msg="retrieval successful")
case chunk_schema.RetrieveType.SEMANTIC:
rs = vector_service.search_by_vector(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.vector_similarity_weight, file_names_filter=retrieve_data.file_names_filter)
return success(data=rs, msg="retrieval successful")
return success(data=jsonable_encoder(rs), msg="retrieval successful")
case _:
rs1 = vector_service.search_by_vector(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.vector_similarity_weight, file_names_filter=retrieve_data.file_names_filter)
rs2 = vector_service.search_by_full_text(query=retrieve_data.query, top_k=retrieve_data.top_k, indices=indices, score_threshold=retrieve_data.similarity_threshold, file_names_filter=retrieve_data.file_names_filter)