The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
基于 Python 官方文档的可本地运行 RAG(Retrieval-Augmented Generation)问答系统,支持混合检索、Query 改写、重排序、流式 Web UI、Ragas 评估及消融实验。
A Streamlit app that converts natural-language retail analytics questions into PostgreSQL queries using RAG-based schema retrieval and a Hugging Face LLM. 1. User enters a natural-language query 2.
Abstract: Accelerated advancements in Large Language Models (LLMs) has enable smarter financial assistant systems. This paper presents an in-depth development roadmap for a cloud-native personal ...