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infiniflow/ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

#RAG
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92.8k
11.5k
644 contributors
Apache License 2.0
website
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Momentum

How fast infiniflow/ragflow is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Aug 26 – Oct 25, 2026

Stars +3,610 in 61 days

050100150
127

Forks +795 in 61 days

0102030
28

Merged PRs 1,816 in 61 days

050100
68

Trendshift Trendingwhere the repository ranked each day it made the top 25

Top 25 in Go

1815719231816258122223241718152321
Aug 26Sep 3Sep 11Sep 19Sep 27Oct 5Oct 13Oct 21
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRsGo
Wed, Aug 26, 2026+84+2043#18
Thu, Aug 27, 2026+82+1761#15
Fri, Aug 28, 2026+127+2857#7
Sat, Aug 29, 2026+64+165Not trending
Sun, Aug 30, 2026+72+121Not trending
Mon, Aug 31, 2026+91+1543#19
Tue, Sep 1, 2026+81+1438#23
Wed, Sep 2, 2026+78+1242#18
Thu, Sep 3, 2026+79+1648#16
Fri, Sep 4, 2026+57+1628#25
Sat, Sep 5, 2026+48+73Not trending
Sun, Sep 6, 2026+39+80Not trending
Mon, Sep 7, 2026+73+1623Not trending
Tue, Sep 8, 2026+97+1431#8
Wed, Sep 9, 2026+79+2146#12
Thu, Sep 10, 2026+73+1627#22
Fri, Sep 11, 2026+68+2034Not trending
Sat, Sep 12, 2026+55+100Not trending
Sun, Sep 13, 2026+29+122Not trending
Mon, Sep 14, 2026+72+1557Not trending
Tue, Sep 15, 2026+69+1759Not trending
Wed, Sep 16, 2026+76+1244Not trending
Thu, Sep 17, 2026+63+1444#23
Fri, Sep 18, 2026+64+1335Not trending
Sat, Sep 19, 2026+43+44Not trending
Sun, Sep 20, 2026+63+2152Not trending
Mon, Sep 21, 2026+41+1542Not trending
Tue, Sep 22, 2026+66+929#24
Wed, Sep 23, 2026+58+1168Not trending
Thu, Sep 24, 2026+45+1348Not trending
Fri, Sep 25, 2026+31+33Not trending
Sat, Sep 26, 2026+25+81Not trending
Sun, Sep 27, 2026+37+40Not trending
Mon, Sep 28, 2026+75+2155#17
Tue, Sep 29, 2026+67+1841#18
Wed, Sep 30, 2026+47+1246Not trending
Thu, Oct 1, 2026+29+91Not trending
Fri, Oct 2, 2026+22+51Not trending
Sat, Oct 3, 2026+25+61Not trending
Sun, Oct 4, 2026+46+120Not trending
Mon, Oct 5, 2026+22+61Not trending
Tue, Oct 6, 2026+37+92Not trending
Wed, Oct 7, 2026+35+50Not trending
Thu, Oct 8, 2026+81+1848#15
Fri, Oct 9, 2026+62+1857Not trending
Sat, Oct 10, 2026+53+1445Not trending
Sun, Oct 11, 2026+33+93Not trending
Mon, Oct 12, 2026+72+1361#23
Tue, Oct 13, 2026+82+1359#21
Wed, Oct 14, 2026+74+1320Not trending
Thu, Oct 15, 2026+54+1247Not trending
Fri, Oct 16, 2026+51+1651Not trending
Sat, Oct 17, 2026+44+131Not trending
Sun, Oct 18, 2026+44+110Not trending
Mon, Oct 19, 2026+64+1346Not trending
Tue, Oct 20, 2026+63+1357Not trending
Wed, Oct 21, 2026+60+1454Not trending
Thu, Oct 22, 2026+61+1647Not trending
Fri, Oct 23, 2026+90+2553Not trending
Sat, Oct 24, 2026+50+111Not trending
Sun, Oct 25, 2026+38+10Not trending
Total+3,610+7951,816
  • 1#1 on the list
  • 7Rank that day
  • Not trending
1

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Apr 3, 2024 – Aug 14, 2026#1 on 1 day

    #1#5#10#15#20#25
    Top 10
    May 2024NovMayNovMay
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about infiniflow/ragflow, and every badge it has earned
    1. Oct 251 post

      • 在 RAGFlow 修过一个典型的坑： 同一个 embedding 模型，库里可能存成新的 UUID 或旧的 model@instance@provider 组合串。 Agent 检索节点直接比原始 embd_id，同一模型也报 different embedding models。 教训：比身份前先 resolve，别比字面量。

        Read full on X, posted by @Zlxhappy0_0

        @Zlxhappy0_0 · x.com

    2. 7 days earlier
    3. Oct 181 post

      • 知识库搜得到，AI 却总答不到点上？ RAGFlow 用文档解析和检索工作流搭建 RAG 问答。 适合处理复杂资料和内部文档。 #RAG #AIAgent #浇朋友

        Read full on X, posted by @T1doo_AI

        @T1doo_AI · x.com

    4. Oct 171 post

      • 做 AI 应用，模型选好之后，还会遇到几个实际问题： 怎么查自己的资料？怎么记住以前的对话？用什么界面操作？出了问题怎么检查？ 这 10 个 GitHub 项目，按用途整理好了： 一、知识库与长期记忆 1. LlamaIndex 连接自己的数据，搭建文档检索和问答应用。 2. RAGFlow 把文档整理成知识库，让 AI 找到相关资料后再回答。 3. Mem0 给 AI…

        Read full on X, posted by @bdall_1

        @bdall_1 · x.com

    5. Oct 121 post

      • 50个超实用的GitHub仓库 1. iFixAi — AI对齐测试 → 2. public-apis — 免费API合集 → 3. build-your-own-x — 边做边学 → 4. developer-roadmap — 学习任何技能 → 5. free-programming-books — 数千本免费书籍 → 6. system-design-primer — 系统设计入门 →…

        Read full on X, posted by @wanerfu

        @wanerfu · x.com

    6. Oct 101 post

      • 让 AI 查一份扫描合同，能答出来还不够，还得能指出答案来自哪段原文。 RAGFlow 是一个开源的“查资料再回答”系统：按 README，它能处理扫描件、Word、Excel 等资料，把文档切成可查看、可人工干预的片段，再通过多路检索和重排挑选相关内容，提供可追溯的引用。 官方架构把资料处理和查询分开组织：上传资料的任务从 API 经过 NATS 队列送到摄取服务，DeepDoc…

        Read full on X, posted by @lukasen_xyz

        @lukasen_xyz · x.com

    7. Oct 71 post

      • GIẢI MÃ TÀI LIỆU PHỨC TẠP BẰNG DEEP DOCUMENT UNDERSTANDING: RAGFLOW ĐẬP TAN LỖI TRÍCH XUẤT OCR VÀ BẢNG BIỂU TRONG RAG

        Read full on Reddit

        r/opensourcevietnam

    8. Oct 61 post

      • 9.2 万星。RAGFlow 是开源 RAG 引擎：文档喂进去，AI 回答前先找依据再开口。 企业知识库最怕它一本正经地编，「有据可查」是能否落地的分水岭。

        Read full on X, posted by @laogeai

        @laogeai · x.com

    9. 12 days earlier
    10. Sep 241 post

      • 5 open-source AI projects worth self-hosting in 2026 (RAG, video generation, web data, coding agents, and memory)

        Read full on Reddit

        r/SATNA_PROJECT

    11. Sep 201 post

      • 【开源项目｜1/2】 AI工具分类收藏｜办公效率类 Dify：开源 LLM 应用开发平台，支持可视化工作流、RAG、Agent 和自托管部署。 RAGFlow：面向企业知识处理的开源 RAG 引擎，结合文档解析、检索和 Agent 能力。 Open WebUI：自托管 AI 界面，可连接 Ollama、OpenAI API 等模型后端。 FastGPT：知识库与 RAG…

        Read full on X, posted by @WukongNumber1

        @WukongNumber1 · x.com

    12. Sep 191 post

      • • Connect chats like Discord and Telegram • Sync data from Notion and Google Drive • Build AI agents with memory and code

        Read full on X, posted by @the_osps

        @the_osps · x.com

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