Products

有了这个解析插件

Uses AIMCPSkill

Turn complex documents into context your agents can use.

knowhereto.ai Source★ 206Writing & Documents / PDF & Document Tools

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Usage-based
No monthly subscription pricing
Creators
Cindy_Yingxin
No social account linkedCo-created with cs1707, eric ng +1 more
Launched
8mo ago
2026-03-17 · Est.

Traffic

Last 12 months
Monthly visitsData through Sep 2026 · Oct 2026 pending
Events14 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on V2EXLaunch

    做了一个面向 AI Agent 的开源文档解析与检索系统,方便做工程和金融 agent 的老哥 — 之前做了一个解析+记忆的小工具 Knowhere ,很多人都觉得跟 MinerU 有点像,其实 MinerU 只负责解析,Knowhere 还会把解析之后的 chunking 、embedding 一系列事情都做了,直接变成 AI agent 可以直接调用、检索、回溯、查找的…

    Sep 19 · 57d agoLaunch page

    At the time: <5K visits/mo1 concurrent move
  • Launched on V2EXLaunch

    做了一条新的纯视觉解析路线用来识别图像类资料,有做金融或工程的老哥要试试吗? — 在 agent 开发和实际落地的时候,经常会遇到一类问题:像金融、工程等行业,他们有很多资料是以图像的形式呈现的,比如设计规范、图纸、施工图集和报表,如果纯纯把它当成纯文字解析,那效果是不好的,有很多信息和关联都会丢失,影响后面模型的回复质量。但是要把它们丢掉,那更不现实,因…

    Aug 30 · 3mo agoLaunch page

    At the time: <5K visits/mo3 concurrent moves
  • Launched on V2EXLaunch

    分享一个辅助 agent 开发的小工具,给各位做垂直行业智能体的老哥 — 在金融、法律、医学、工程类的垂直领域,现在也需要一些做长任务的智能体了,所以,怎么给他们喂资料,就成了源头的一个需要斟酌的问题。 因为在现实环境里的资料,跟办公场景的比要粗糙多了。平时我们处理文档,很多都是把文档简单理解成一长串文字,在简单问答里够用,就行了。 但在真实工作里…

    Aug 18 · 3mo agoLaunch page

    At the time: <5K visits/mo4 concurrent moves
  • Launched on V2EX (1 comments)Launch

    分享一些在 AI 解析中经常遇到的问题,以及应对思路吧 — 之前我分享了一个自己做的小项目,已经在 Github 上拿下 2000 star 了,评论区有人说,觉得我做的东西跟 MinerU 好像啊,是不是在重复造轮子? 我觉得还是不太一样的,今天来分享一下使用场景和区别。 首先叠个甲啊,MinerU 确实是一个很优秀的文档解析工具,…

    Aug 8 · 3mo agoLaunch page

    At the time: <5K visits/mo4 concurrent moves
  • Launched on V2EX (2 comments)Launch

    搞了大半年的文档解析引擎,现在终于开源了——专治 AI 幻觉,欢迎老铁们来试试 — 之前 4 月中旬的时候我发过一个帖子,说我做了一个叫 Knowhere 的文档解析插件,专治非结构化数据。当时有老哥问后台用的是什么服务,我说准备开源出去,后面可以关注一下。 现在,它来了。 仓库在这里: 先说说我为什么做这个东西。 做 AI 应用开发的兄弟应该都有同感——模…

    Jul 25 · 4mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
V2EX
2026-03-24Source
V2EX
2026-04-24Source
V2EX
2026-04-30Source
V2EX
2026-05-07Source
V2EX
2026-05-11Source
V2EX
2026-05-29Source
V2EX
2026-07-19Source
V2EX
2026-07-25Source
V2EX
2026-08-08Source
V2EX
2026-08-18Source
V2EX
2026-08-30Source
V2EX
2026-09-19Source

Open Source & Agent Ecosystem

GitHub · MCP / Skill
Last commit 2026-10-30
GitHub Stars
★ 206
Forks
18
License
See repository
Primary language
—

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct39%
  • Organic Search36%
  • Referrals9%
  • Social6%
  • Other10%

Countries

  • India100%

Search

Domain authority —Domain registered 2025-09-28

KeywordMonthly volume
knowhere11.2K

Traffic data: Vaneform

Pricing

Usage-based pricing; no fixed plans listed on website.

Trial: Start a free 14-day trial. No credit card is required. · Observed 2026-11-03 · Pricing page

Pages & changes

Tracked since 2026-07-31

Key pages

Weekly snapshots
knowhereto.ai/ Snapshot 2026-11-04

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does 有了这个解析插件 get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is 有了这个解析插件 and what platforms does it support?
有了这个解析插件 is catalogued under PDF & Document Tools: Turn complex documents into context your agents can use.. Supported platforms: MCP Server, API.
Is 有了这个解析插件 open source?
有了这个解析插件 has a public repository (https://github.com/Ontos-AI/knowhere) with its source repository published, recording 206 GitHub stars.Source

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