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feat: Vector retrieval matches tables #296

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Merged
XiaJunjie2020 merged 1 commit into from
Oct 10, 2025
Merged

feat: Vector retrieval matches tables #296

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3 changes: 2 additions & 1 deletion backend/apps/chat/task/llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -419,7 +419,8 @@ def select_datasource(self):
full_thinking_text = ''
full_text = ''
if not ignore_auto_select:
if settings.TABLE_EMBEDDING_ENABLED:
if settings.TABLE_EMBEDDING_ENABLED and (
not self.current_assistant or (self.current_assistant and self.current_assistant.type != 1)):
ds = get_ds_embedding(self.session, self.current_user, _ds_list, self.out_ds_instance,
self.chat_question.question, self.current_assistant)
yield {'content': '{"id":' + str(ds.get('id')) + '}'}
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4 changes: 2 additions & 2 deletions backend/apps/system/crud/assistant.py
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Expand Up @@ -173,8 +173,8 @@ def get_db_schema(self, ds_id: int, question: str, embedding: bool = True) -> st
tables.append(t_obj)

# do table embedding
if embedding and tables and settings.TABLE_EMBEDDING_ENABLED:
tables = get_table_embedding(tables, question)
# if embedding and tables and settings.TABLE_EMBEDDING_ENABLED:
# tables = get_table_embedding(tables, question)

if tables:
for s in tables:
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2 changes: 1 addition & 1 deletion backend/common/core/config.py
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Expand Up @@ -105,7 +105,7 @@ def SQLALCHEMY_DATABASE_URI(self) -> PostgresDsn | str:
PG_POOL_RECYCLE: int = 3600
PG_POOL_PRE_PING: bool = True

TABLE_EMBEDDING_ENABLED: bool = False
TABLE_EMBEDDING_ENABLED: bool = True
TABLE_EMBEDDING_COUNT: int = 10


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