Implement LLM-powered Investor Parser with CSV processing, SQL and vector database integration

- Added FastAPI application with a simple root endpoint.
- Developed LLMInvestorParser class for processing investor data from CSV files.
- Integrated OpenAI API for LLM enhancements and JSON cleaning.
- Implemented structured data extraction and saving to SQL database.
- Added functionality to save investor descriptions to ChromaDB for vector similarity search.
- Created command-line interface for processing files and searching investors.
- Added schema definitions for Investor and related data models using SQLAlchemy and Pydantic.
- Implemented logging for better traceability and error handling.
- Included requirements.txt for dependency management.

requirements.txt

@@ -0,0 +1,16 @@
+# Core dependencies
+pandas>=2.0.0
+sqlalchemy>=2.0.0
+pydantic>=2.0.0
+
+# Vector database
+chromadb>=0.4.0
+
+# LLM integration
+openai>=1.0.0
+
+# Environment management
+python-dotenv>=1.0.0
+
+# Additional dependencies for data processing
+typing-extensions>=4.0.0