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Anton_wireframe/requirements.txt
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bolade bbf6af58f0 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.
2025-08-28 22:51:58 +01:00

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# 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