LLM Finance Engineering: Building Financial Agents and RAG Systems with Open Models

Reactive Publishing LLM Finance Engineering explores the practical intersection of large language models and financial technology. This book provides a clear, technical guide to designing and implementing financial agents and Retrieval-Augmented Generation (RAG) systems using open models. Readers will learn how to: - Build intelligent financial agents that can process and analyze financial data - Design and implement RAG systems tailored for finance use cases - Integrate language models into financial workflows and decision support tools >The focus is on practical implementation using open-source tools and frameworks. Each chapter emphasizes clean architecture, reliable system design, and responsible development practices. Whether you are a quantitative developer, financial engineer, or AI practitioner looking to expand into finance, this book offers structured guidance for building capable AI-powered financial systems. **Important Note: ** This book is educational and technical in nature. It does not provide financial advice, investment recommendations, or guaranteed trading strategies.

Pages: 509, Paperback, Independently published