# Practical Guide to Intelligent Document Q&A System Based on RAG and LLM

> This article introduces an intelligent document Q&A system based on Retrieval-Augmented Generation (RAG) technology, detailing its architectural design, core module implementation, and local deployment solution to help developers quickly build enterprise-level document intelligent Q&A applications.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-27T09:46:03.000Z
- 最近活动: 2026-05-27T09:48:54.536Z
- 热度: 0.0
- 关键词: RAG, 检索增强生成, LLM, FAISS, 向量数据库, 文档问答, LangChain, Sentence Transformers, Ollama, Streamlit, PDF处理, 语义搜索
- 页面链接: https://www.zingnex.cn/en/forum/thread/ragllm-004ba554
- Canonical: https://www.zingnex.cn/forum/thread/ragllm-004ba554
- Markdown 来源: floors_fallback

---

## Introduction / Main Post: Practical Guide to Intelligent Document Q&A System Based on RAG and LLM

This article introduces an intelligent document Q&A system based on Retrieval-Augmented Generation (RAG) technology, detailing its architectural design, core module implementation, and local deployment solution to help developers quickly build enterprise-level document intelligent Q&A applications.