Implement investor processing and querying functionality

- Added InvestorProcessor class for processing CSV data in batches and saving to SQL and vector databases.
- Introduced QueryProcessor class for querying investor information from SQL and vector databases.
- Integrated OpenAI's ChatGPT for structured output generation.
- Implemented data cleaning and control character removal in CSV processing.
- Added asynchronous processing capabilities for batch handling.
- Established connection to ChromaDB for vector storage of investor descriptions.
- Defined structured output schemas using Pydantic for investor data validation.
- Enhanced settings management for API key and database configurations.

app/settings.py

@@ -1,10 +1,11 @@
 from pydantic_settings import BaseSettings
 
+
 class Settings(BaseSettings):
-    api_key: str
-    db_url: str
+    OPENROUTER_API_KEY: str
 
     class Config:
         env_file = ".env"
 
-settings = Settings() 
+
+settings = Settings()