fix:merge rag_sdk

Makefile

@@ -17,7 +17,7 @@ setup: ## Set up the Python development environment
 	$(VENV_BIN)/pip install -r requirements/lint-requirements.txt
 
 testenv: setup ## Set up the Python test environment
-	$(VENV_BIN)/pip install -e ".[simple_framework]"
+	$(VENV_BIN)/pip install -e ".[default]"
 
 .PHONY: fmt
 fmt: setup ## Format Python code

dbgpt/datasource/rdbms/conn_clickhouse.py

@@ -93,7 +93,7 @@ def get_indexes(self, table_name: str) -> List[Dict]:
         """
         session = self.client
 
-        _query_sql = f""" 
+        _query_sql = f"""
                     SELECT name AS table, primary_key, from system.tables where database ='{self.client.database}' and table = '{table_name}'
                 """
         with session.query_row_block_stream(_query_sql) as stream:
@@ -150,7 +150,7 @@ def get_fields(self, table_name):
         """Get column fields about specified table."""
         session = self.client
 
-        _query_sql = f""" 
+        _query_sql = f"""
             SELECT name, type, default_expression, is_in_primary_key, comment  from system.columns where table='{table_name}'
         """.format(
             table_name
@@ -275,7 +275,7 @@ def table_simple_info(self):
 
         _sql = f"""
             SELECT concat(TABLE_NAME, '(', arrayStringConcat(groupArray(column_name), '-'), ')') AS schema_info
-            FROM information_schema.COLUMNS
+            FROM INFORMATION_SCHEMA.COLUMNS
             WHERE table_schema = '{self.get_current_db_name()}'
             GROUP BY TABLE_NAME
         """

dbgpt/serve/rag/assembler/embedding.py

@@ -12,19 +12,19 @@
 
 class EmbeddingAssembler(BaseAssembler):
     """Embedding Assembler
+
     Example:
-       .. code-block:: python
 
-           from dbgpt.rag.assembler import EmbeddingAssembler
+    .. code-block:: python
+
+        from dbgpt.rag.assembler import EmbeddingAssembler
 
-           pdf_path = "path/to/document.pdf"
-           knowledge = KnowledgeFactory.from_file_path(pdf_path)
-           assembler = EmbeddingAssembler.load_from_knowledge(
-               knowledge=knowledge, embedding_model="text2vec"
-           )
-           assembler.persist()
-           # get db struct retriever
-           retriever = assembler.as_retriever(top_k=3)
+        pdf_path = "path/to/document.pdf"
+        knowledge = KnowledgeFactory.from_file_path(pdf_path)
+        assembler = EmbeddingAssembler.load_from_knowledge(
+            knowledge=knowledge,
+            embedding_model="text2vec",
+        )
     """
 
     def __init__(