LlmWiki：大语言模型Wikiis跨平台桌面端应用that提供san直观

大语言模型 Wiki is a 跨平台 桌面端 应用 that 提供s an 直观 知识库 for 本地 documents with 检索增强生成 capabilities该项目在GitHub已获得12,113星标（1,133分叉），代码活跃度高。主要编程语言为Python，采用MIT开源协议。主要标签：rag,llm,knowledge-base,desktop-app。

项目简介

大语言模型 Wiki is a 跨平台 桌面端 应用 that 提供s an 直观 知识库 for 本地 documents with 检索增强生成 capabilities

核心功能

- Two-Step Chain-of-Thought Ingest — LLM analyzes first, then generates wiki pages with source traceability and incremental cache - Multimodal Image Ingestion — extract embedded images from PDFs, generate factual captions with a vision LLM, surface them in image-aware search results with lightbox preview and jump-to-source - Optional MinerU PDF Parsing — use MinerU cloud parsing for complex PDFs with tables, formulas, and dense layouts; the built-in local parser remains the default - 4-Signal Knowledge Graph — relevance model with direct links, source overlap, Adamic-Adar, and type affinity - Louvain Community Detection — automatic knowledge cluster discovery with cohesion scoring - Graph Insights — surprising connections and knowledge gaps with one-click Deep Research

使用指南

<a href="#installation">Installation</a> • <a href="#credits">Credits</a> • <a href="#license">License</a> </p> <p align="center"> English | <a href="README_CN.md">中文</a> | <a href="README_JA.md">日本語</a> | <a href="README_KO.md">한국어</a> </p>

项目信息

来源：[nashsu/llm_wiki](https://github.com/nashsu/llm_wiki)