very much work in progress version

src/crewai_tools/tools/pg_seach_tool/pg_search_tool.py

@@ -0,0 +1,44 @@
+from typing import Optional, Type, Any
+from pydantic.v1 import BaseModel, Field
+
+from embedchain import App
+from embedchain.loaders.postgres import PostgresLoader
+
+from ..rag.rag_tool import RagTool
+
+class PGSearchToolSchema(BaseModel):
+	"""Input for PGSearchTool."""
+	search_query: str = Field(..., description="Mandatory semantic search query you want to use to search the database's content")
+
+class PGSearchTool(RagTool):
+	name: str = "Search a database's table content"
+	description: str = "A tool that can be used to semantic search a query from a database table's content."
+	summarize: bool = False
+	args_schema: Type[BaseModel] = PGSearchToolSchema
+	db_uri: str = Field(..., description="Mandatory database URI")
+	table_name: str = Field(..., description="Mandatory table name")
+	search_query: str = Field(..., description="Mandatory semantic search query you want to use to search the database's content")
+
+	def __init__(self, table_name: Optional[str] = None, **kwargs):
+		super().__init__(**kwargs)
+		if table_name is not None:
+			self.table_name = table_name
+			self.description = f"A tool that can be used to semantic search a query the {table_name} database table's content."
+		else:
+			raise('To use PGSearchTool, you must provide a `table_name` argument')
+
+	def _run(
+		self,
+		search_query: str,
+		**kwargs: Any,
+	) -> Any:
+
+		config = { "url":  self.db_uri }
+		postgres_loader = PostgresLoader(config=config)
+		app = App()
+		app.add(
+				f"SELECT * FROM {self.table_name};",
+				data_type='postgres',
+				loader=postgres_loader
+		)
+		return super()._run(query=search_query)