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### What problem does this PR solve?


### Type of change

- [x] Documentation Update

---------

Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
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26
README.md
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</div>
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_zh.md">简体中文</a> |
<a href="./README_tzh.md">繁体中文</a> |
<a href="./README_ja.md">日本語</a> |
<a href="./README_ko.md">한국어</a> |
<a href="./README_id.md">Bahasa Indonesia</a> |
<a href="/README_pt_br.md">Português (Brasil)</a>
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-DBEDFA"></a>
<a href="./README_tzh.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-DFE0E5"></a>
<a href="./README_zh.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
<a href="./README_ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-DFE0E5"></a>
<a href="./README_ko.md"><img alt="한국어" src="https://img.shields.io/badge/한국어-DFE0E5"></a>
<a href="./README_id.md"><img alt="Bahasa Indonesia" src="https://img.shields.io/badge/Bahasa Indonesia-DFE0E5"></a>
<a href="./README_pt_br.md"><img alt="Português(Brasil)" src="https://img.shields.io/badge/Português(Brasil)-DFE0E5"></a>
</p>
<p align="center">
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.19.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -43,6 +43,12 @@
<a href="https://demo.ragflow.io">Demo</a>
</h4>
#
<div align="center">
<a href="https://trendshift.io/repositories/9064" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9064" alt="infiniflow%2Fragflow | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>
<details open>
<summary><b>📕 Table of Contents</b></summary>
@ -81,11 +87,11 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Latest Updates
- 2025-05-23 Adds a Python/JavaScript code executor component to Agent.
- 2025-05-05 Supports cross-language query.
- 2025-03-19 Supports using a multi-modal model to make sense of images within PDF or DOCX files.
- 2025-02-28 Combined with Internet search (Tavily), supports reasoning like Deep Research for any LLMs.
- 2025-01-26 Optimizes knowledge graph extraction and application, offering various configuration options.
- 2024-12-18 Upgrades Document Layout Analysis model in DeepDoc.
- 2024-11-01 Adds keyword extraction and related question generation to the parsed chunks to improve the accuracy of retrieval.
- 2024-08-22 Support text to SQL statements through RAG.
## 🎉 Stay Tuned

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</div>
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_zh.md">简体中文</a> |
<a href="./README_tzh.md">繁体中文</a> |
<a href="./README_ja.md">日本語</a> |
<a href="./README_ko.md">한국어</a> |
<a href="./README_id.md">Bahasa Indonesia</a> |
<a href="/README_pt_br.md">Português (Brasil)</a>
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
<a href="./README_tzh.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-DFE0E5"></a>
<a href="./README_zh.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
<a href="./README_ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-DFE0E5"></a>
<a href="./README_ko.md"><img alt="한국어" src="https://img.shields.io/badge/한국어-DFE0E5"></a>
<a href="./README_id.md"><img alt="Bahasa Indonesia" src="https://img.shields.io/badge/Bahasa Indonesia-DBEDFA"></a>
<a href="./README_pt_br.md"><img alt="Português(Brasil)" src="https://img.shields.io/badge/Português(Brasil)-DFE0E5"></a>
</p>
<p align="center">
@ -22,7 +22,7 @@
<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.19.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
@ -43,6 +43,8 @@
<a href="https://demo.ragflow.io">Demo</a>
</h4>
#
<details open>
<summary><b>📕 Daftar Isi </b> </summary>
@ -78,11 +80,11 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Pembaruan Terbaru
- 2025-05-23 Menambahkan komponen pelaksana kode Python/JS ke Agen.
- 2025-05-05 Mendukung kueri lintas bahasa.
- 2025-03-19 Mendukung penggunaan model multi-modal untuk memahami gambar di dalam file PDF atau DOCX.
- 2025-02-28 dikombinasikan dengan pencarian Internet (TAVILY), mendukung penelitian mendalam untuk LLM apa pun.
- 2025-01-26 Optimalkan ekstraksi dan penerapan grafik pengetahuan dan sediakan berbagai opsi konfigurasi.
- 2024-12-18 Meningkatkan model Analisis Tata Letak Dokumen di DeepDoc.
- 2024-11-01 Penambahan ekstraksi kata kunci dan pembuatan pertanyaan terkait untuk meningkatkan akurasi pengambilan.
- 2024-08-22 Dukungan untuk teks ke pernyataan SQL melalui RAG.
## 🎉 Tetap Terkini

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</div>
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_zh.md">简体中文</a> |
<a href="./README_tzh.md">繁体中文</a> |
<a href="./README_ja.md">日本語</a> |
<a href="./README_ko.md">한국어</a> |
<a href="./README_id.md">Bahasa Indonesia</a> |
<a href="/README_pt_br.md">Português (Brasil)</a>
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
<a href="./README_tzh.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-DFE0E5"></a>
<a href="./README_zh.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
<a href="./README_ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-DBEDFA"></a>
<a href="./README_ko.md"><img alt="한국어" src="https://img.shields.io/badge/한국어-DFE0E5"></a>
<a href="./README_id.md"><img alt="Bahasa Indonesia" src="https://img.shields.io/badge/Bahasa Indonesia-DFE0E5"></a>
<a href="./README_pt_br.md"><img alt="Português(Brasil)" src="https://img.shields.io/badge/Português(Brasil)-DFE0E5"></a>
</p>
<p align="center">
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.19.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -43,6 +43,8 @@
<a href="https://demo.ragflow.io">Demo</a>
</h4>
#
## 💡 RAGFlow とは？
[RAGFlow](https://ragflow.io/) は、深い文書理解に基づいたオープンソースの RAG (Retrieval-Augmented Generation) エンジンである。LLM（大規模言語モデル）を組み合わせることで、様々な複雑なフォーマットのデータから根拠のある引用に裏打ちされた、信頼できる質問応答機能を実現し、あらゆる規模のビジネスに適した RAG ワークフローを提供します。
@ -58,11 +60,11 @@
## 🔥 最新情報
- 2025-05-23 エージェントに Python/JS コードエグゼキュータコンポーネントを追加しました。
- 2025-05-05 言語間クエリをサポートしました。
- 2025-03-19 PDFまたはDOCXファイル内の画像を理解するために、多モーダルモデルを使用することをサポートします。
- 2025-02-28 インターネット検索 (TAVILY) と組み合わせて、あらゆる LLM の詳細な調査をサポートします。
- 2025-01-26 ナレッジ グラフの抽出と適用を最適化し、さまざまな構成オプションを提供します。
- 2024-12-18 DeepDoc のドキュメント レイアウト分析モデルをアップグレードします。
- 2024-11-01 再現の精度を向上させるために、解析されたチャンクにキーワード抽出と関連質問の生成を追加しました。
- 2024-08-22 RAG を介して SQL ステートメントへのテキストをサポートします。
## 🎉 続きを楽しみに

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</div>
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_zh.md">简体中文</a> |
<a href="./README_tzh.md">繁体中文</a> |
<a href="./README_ja.md">日本語</a> |
<a href="./README_ko.md">한국어</a> |
<a href="./README_id.md">Bahasa Indonesia</a> |
<a href="/README_pt_br.md">Português (Brasil)</a>
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
<a href="./README_tzh.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-DFE0E5"></a>
<a href="./README_zh.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
<a href="./README_ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-DFE0E5"></a>
<a href="./README_ko.md"><img alt="한국어" src="https://img.shields.io/badge/한국어-DBEDFA"></a>
<a href="./README_id.md"><img alt="Bahasa Indonesia" src="https://img.shields.io/badge/Bahasa Indonesia-DFE0E5"></a>
<a href="./README_pt_br.md"><img alt="Português(Brasil)" src="https://img.shields.io/badge/Português(Brasil)-DFE0E5"></a>
</p>
<p align="center">
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.19.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -43,6 +43,8 @@
<a href="https://demo.ragflow.io">Demo</a>
</h4>
#
## 💡 RAGFlow란?
[RAGFlow](https://ragflow.io/)는 심층 문서 이해에 기반한 오픈소스 RAG (Retrieval-Augmented Generation) 엔진입니다. 이 엔진은 대규모 언어 모델(LLM)과 결합하여 정확한 질문 응답 기능을 제공하며, 다양한 복잡한 형식의 데이터에서 신뢰할 수 있는 출처를 바탕으로 한 인용을 통해 이를 뒷받침합니다. RAGFlow는 규모에 상관없이 모든 기업에 최적화된 RAG 워크플로우를 제공합니다.
@ -58,11 +60,11 @@
## 🔥 업데이트
- 2025-05-23 Agent에 Python/JS 코드 실행기 구성 요소를 추가합니다.
- 2025-05-05 언어 간 쿼리를 지원합니다.
- 2025-03-19 PDF 또는 DOCX 파일 내의 이미지를 이해하기 위해 다중 모드 모델을 사용하는 것을 지원합니다.
- 2025-02-28 인터넷 검색(TAVILY)과 결합되어 모든 LLM에 대한 심층 연구를 지원합니다.
- 2025-01-26 지식 그래프 추출 및 적용을 최적화하고 다양한 구성 옵션을 제공합니다.
- 2024-12-18 DeepDoc의 문서 레이아웃 분석 모델 업그레이드.
- 2024-11-01 파싱된 청크에 키워드 추출 및 관련 질문 생성을 추가하여 재현율을 향상시킵니다.
- 2024-08-22 RAG를 통해 SQL 문에 텍스트를 지원합니다.
## 🎉 계속 지켜봐 주세요

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</div>
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_zh.md">简体中文</a> |
<a href="./README_tzh.md">繁体中文</a> |
<a href="./README_ja.md">日本語</a> |
<a href="./README_ko.md">한국어</a> |
<a href="./README_id.md">Bahasa Indonesia</a> |
<a href="/README_pt_br.md">Português (Brasil)</a>
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
<a href="./README_tzh.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-DFE0E5"></a>
<a href="./README_zh.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
<a href="./README_ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-DFE0E5"></a>
<a href="./README_ko.md"><img alt="한국어" src="https://img.shields.io/badge/한국어-DFE0E5"></a>
<a href="./README_id.md"><img alt="Bahasa Indonesia" src="https://img.shields.io/badge/Bahasa Indonesia-DFE0E5"></a>
<a href="./README_pt_br.md"><img alt="Português(Brasil)" src="https://img.shields.io/badge/Português(Brasil)-DBEDFA"></a>
</p>
<p align="center">
@ -22,7 +22,7 @@
<img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.19.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Última%20Relese" alt="Última Versão">
@ -43,6 +43,8 @@
<a href="https://demo.ragflow.io">Demo</a>
</h4>
#
<details open>
<summary><b>📕 Índice</b></summary>
@ -78,11 +80,11 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Últimas Atualizações
- 23-05-2025 Adicione o componente executor de código Python/JS ao Agente.
- 05-05-2025 Suporte a consultas entre idiomas.
- 19-03-2025 Suporta o uso de um modelo multi-modal para entender imagens dentro de arquivos PDF ou DOCX.
- 28-02-2025 combinado com a pesquisa na Internet (T AVI LY), suporta pesquisas profundas para qualquer LLM.
- 26-01-2025 Otimize a extração e aplicação de gráficos de conhecimento e forneça uma variedade de opções de configuração.
- 18-12-2024 Atualiza o modelo de Análise de Layout de Documentos no DeepDoc.
- 01-11-2024 Adiciona extração de palavras-chave e geração de perguntas relacionadas aos blocos analisados para melhorar a precisão da recuperação.
- 22-08-2024 Suporta conversão de texto para comandos SQL via RAG.
## 🎉 Fique Ligado

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</div>
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_zh.md">简体中文</a> |
<a href="./README_ja.md">日本語</a> |
<a href="./README_ko.md">한국어</a> |
<a href="./README_id.md">Bahasa Indonesia</a> |
<a href="/README_pt_br.md">Português (Brasil)</a>
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
<a href="./README_tzh.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-DBEDFA"></a>
<a href="./README_zh.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
<a href="./README_ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-DFE0E5"></a>
<a href="./README_ko.md"><img alt="한국어" src="https://img.shields.io/badge/한국어-DFE0E5"></a>
<a href="./README_id.md"><img alt="Bahasa Indonesia" src="https://img.shields.io/badge/Bahasa Indonesia-DFE0E5"></a>
<a href="./README_pt_br.md"><img alt="Português(Brasil)" src="https://img.shields.io/badge/Português(Brasil)-DFE0E5"></a>
</p>
<p align="center">
@ -21,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.19.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -42,6 +43,31 @@
<a href="https://demo.ragflow.io">Demo</a>
</h4>
#
<div align="center">
<a href="https://trendshift.io/repositories/9064" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9064" alt="infiniflow%2Fragflow | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>
<details open>
<summary><b>📕 目錄</b></summary>
- 💡 [RAGFlow 是什麼？](#-RAGFlow-是什麼)
- 🎮 [Demo-試用](#-demo-試用)
- 📌 [近期更新](#-近期更新)
- 🌟 [主要功能](#-主要功能)
- 🔎 [系統架構](#-系統架構)
- 🎬 [快速開始](#-快速開始)
- 🔧 [系統配置](#-系統配置)
- 🔨 [以原始碼啟動服務](#-以原始碼啟動服務)
- 📚 [技術文檔](#-技術文檔)
- 📜 [路線圖](#-路線圖)
- 🏄 [貢獻指南](#-貢獻指南)
- 🙌 [加入社區](#-加入社區)
- 🤝 [商務合作](#-商務合作)
</details>
## 💡 RAGFlow 是什麼？
[RAGFlow](https://ragflow.io/) 是一款基於深度文件理解所建構的開源 RAG（Retrieval-Augmented Generation）引擎。 RAGFlow 可以為各種規模的企業及個人提供一套精簡的 RAG 工作流程，結合大語言模型（LLM）針對用戶各類不同的複雜格式數據提供可靠的問答以及有理有據的引用。
@ -57,11 +83,11 @@
## 🔥 近期更新
- 2025-05-23 為 Agent 新增 Python/JS 程式碼執行器元件。
- 2025-05-05 支援跨語言查詢。
- 2025-03-19 PDF和DOCX中的圖支持用多模態大模型去解析得到描述.
- 2025-02-28 結合網路搜尋（Tavily），對於任意大模型實現類似 Deep Research 的推理功能.
- 2025-01-26 最佳化知識圖譜的擷取與應用，提供了多種配置選擇。
- 2024-12-18 升級了 DeepDoc 的文檔佈局分析模型。
- 2024-11-01 對解析後的 chunk 加入關鍵字抽取和相關問題產生以提高回想的準確度。
- 2024-08-22 支援用 RAG 技術實現從自然語言到 SQL 語句的轉換。
## 🎉 關注項目

45
README_zh.md
View File

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</div>
<p align="center">
<a href="./README.md">English</a> |
<a href="./README_zh.md">简体中文</a> |
<a href="./README_tzh.md">繁体中文</a> |
<a href="./README_ja.md">日本語</a> |
<a href="./README_ko.md">한국어</a> |
<a href="./README_id.md">Bahasa Indonesia</a> |
<a href="/README_pt_br.md">Português (Brasil)</a>
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
<a href="./README_tzh.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-DFE0E5"></a>
<a href="./README_zh.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DBEDFA"></a>
<a href="./README_ja.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-DFE0E5"></a>
<a href="./README_ko.md"><img alt="한국어" src="https://img.shields.io/badge/한국어-DFE0E5"></a>
<a href="./README_id.md"><img alt="Bahasa Indonesia" src="https://img.shields.io/badge/Bahasa Indonesia-DFE0E5"></a>
<a href="./README_pt_br.md"><img alt="Português(Brasil)" src="https://img.shields.io/badge/Português(Brasil)-DFE0E5"></a>
</p>
<p align="center">
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/badge/docker_pull-ragflow:v0.19.0-brightgreen" alt="docker pull infiniflow/ragflow:v0.19.0">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.19.0">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -43,6 +43,31 @@
<a href="https://demo.ragflow.io">Demo</a>
</h4>
#
<div align="center">
<a href="https://trendshift.io/repositories/9064" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9064" alt="infiniflow%2Fragflow | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>
<details open>
<summary><b>📕 目录</b></summary>
- 💡 [RAGFlow 是什么？](#-RAGFlow-是什么)
- 🎮 [Demo](#-demo)
- 📌 [近期更新](#-近期更新)
- 🌟 [主要功能](#-主要功能)
- 🔎 [系统架构](#-系统架构)
- 🎬 [快速开始](#-快速开始)
- 🔧 [系统配置](#-系统配置)
- 🔨 [以源代码启动服务](#-以源代码启动服务)
- 📚 [技术文档](#-技术文档)
- 📜 [路线图](#-路线图)
- 🏄 [贡献指南](#-贡献指南)
- 🙌 [加入社区](#-加入社区)
- 🤝 [商务合作](#-商务合作)
</details>
## 💡 RAGFlow 是什么？
[RAGFlow](https://ragflow.io/) 是一款基于深度文档理解构建的开源 RAG（Retrieval-Augmented Generation）引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。
@ -58,11 +83,11 @@
## 🔥 近期更新
- 2025-05-23 Agent 新增 Python/JS 代码执行器组件。
- 2025-05-05 支持跨语言查询。
- 2025-03-19 PDF 和 DOCX 中的图支持用多模态大模型去解析得到描述.
- 2025-02-28 结合互联网搜索（Tavily），对于任意大模型实现类似 Deep Research 的推理功能.
- 2025-01-26 优化知识图谱的提取和应用，提供了多种配置选择。
- 2024-12-18 升级了 DeepDoc 的文档布局分析模型。
- 2024-11-01 对解析后的 chunk 加入关键词抽取和相关问题生成以提高召回的准确度。
- 2024-08-22 支持用 RAG 技术实现从自然语言到 SQL 语句的转换。
## 🎉 关注项目