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.

.gitignore

@@ -0,0 +1,14 @@
+/.venv
+
+/.env
+
+/.chroma
+
+/.mypy_cache
+
+/chroma_db
+
+/*__pycache__*/
+
+/*.db
+