Abstract: The paper presents a novel Retrieval-Augmented Generation (RAG) framework for intelligent banking assistants, integrating structured financial and regulatory data to improve accuracy and ...

Ever thought what turns a good idea into a working application? The short and simple answer to this question is selecting the right framework. As Python has gained popularity among web development ...

Index any document into a navigable tree structure, then retrieve relevant sections using any LLM. No vector databases, no embeddings — just structured tree retrieval. Available for both Python and ...

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 16 state-of-the-art ...

Abstract: Retrieval-Augmented Generation (RAG) plays a vital role in enhancing large language models (LLMs) by enabling them to leverage external knowledge, thereby reducing hallucinations and ...

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...

This paper presents the design and development of a comprehensive standalone application for geotechnical engineering, built entirely using Python. Unlike conventional commercial platforms or ...