This repository explores the application of Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), and AI Agents within the finance sector. It serves as an educational resource for researchers and practitioners interested in leveraging AI for financial tasks, offering insights into practical implementations and concepts.

How It Works

The project focuses on demonstrating how LLMs can be integrated into financial workflows, likely through RAG for accessing and processing financial data and AI agents for automating tasks. The approach emphasizes practical examples and knowledge sharing to demystify the use of advanced AI in finance.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Prerequisites: Python 3.x, potentially specific libraries listed in requirements.txt. Access to financial data sources or APIs may be required for full functionality.
• Links: Official Documentation

Highlighted Details

• Focus on Generative AI and AI Agents in finance.
• Exploration of Retrieval-Augmented Generation (RAG) for financial data.
• Educational and research-oriented content.

Maintenance & Community

• This appears to be a personal project, with contributions primarily from the repository owner.
• No specific community channels (Discord, Slack) or roadmap are mentioned.

Licensing & Compatibility

• The repository does not explicitly state a license. Users should assume all rights are reserved by the author until a license is provided.
• Commercial use is likely restricted due to the educational/research focus and lack of explicit licensing.

Limitations & Caveats

This project is strictly for educational and research purposes and explicitly disclaims any warranties or responsibility for financial losses, making it unsuitable for real-world trading or investment decisions.