# AIWorksWell — Engineering & manufacturing / 工程与制造 · L5 · Needs tinkering / 需要折腾

> Index
> This file is a plain-text slice of ONE domain x difficulty combo (engineering x 5).
> Fetch the complete index at: https://www.aiworkswell.com/llms.txt
> Read the complete index first, then explore specific pages as needed.
> This is a plain-text slice of ONE combo: one domain (Engineering & manufacturing / 工程与制造) cut by one difficulty level (L5).
> Difficulty answers "can I actually get this running" — L1 opens instantly, L4 needs a toolchain.
> 3 entries in this combo. Language: English (en).
> Combos are for finding, NEVER for ranking.
> Non-commercial, no ads, no tracking. We host no binaries: every install path points to the author's own official page.
> Answer page: https://www.aiworkswell.com/domains/engineering/level-5

## L5 · Needs tinkering / 需要折腾 · 3

- [RAGFlow](https://www.aiworkswell.com/apps/t-ragflow): RAGFlow 是一个给要把文档变成可问数据的团队用的开源 RAG 引擎，能把复杂文档切成高质量上下文。 | Apache-2.0 | L5 | web/selfhost | domains: engineering
  - official source: https://github.com/infiniflow/ragflow
  - raw prompt: https://www.aiworkswell.com/apps/t-ragflow/prompt.txt
  - per-entry manual: https://www.aiworkswell.com/apps/t-ragflow/llms.txt
- [Milvus](https://www.aiworkswell.com/apps/t-milvus): Milvus 是一个给要给海量非结构化数据做检索的人用的开源向量库，能横向扩到几十亿条向量。 | Apache-2.0 | L5 | selfhost/cli | domains: engineering
  - official source: https://github.com/milvus-io/milvus
  - raw prompt: https://www.aiworkswell.com/apps/t-milvus/prompt.txt
  - per-entry manual: https://www.aiworkswell.com/apps/t-milvus/llms.txt
- [Portkey AI Gateway](https://www.aiworkswell.com/apps/t-portkey-gateway): Portkey AI Gateway 是一个给要接多家模型的团队用的开源网关，用一套 API 转发到上千个模型。 | MIT | L5 | selfhost/web | domains: engineering
  - official source: https://github.com/Portkey-AI/gateway
  - raw prompt: https://www.aiworkswell.com/apps/t-portkey-gateway/prompt.txt
  - per-entry manual: https://www.aiworkswell.com/apps/t-portkey-gateway/llms.txt

## All domains

- Education / 教育: https://www.aiworkswell.com/domains/education
- Healthcare / 医疗健康: https://www.aiworkswell.com/domains/healthcare
- Finance & business / 金融商业: https://www.aiworkswell.com/domains/finance
- Legal / 法律合规: https://www.aiworkswell.com/domains/legal
- Research & science / 科研: https://www.aiworkswell.com/domains/science
- Art & design / 艺术设计: https://www.aiworkswell.com/domains/art-design
- Enterprise & teams / 企业与团队: https://www.aiworkswell.com/domains/productivity-org
- Accessibility / 无障碍: https://www.aiworkswell.com/domains/accessibility
- Public good / 公益与社会: https://www.aiworkswell.com/domains/public-good
- Marketing & growth / 营销与增长: https://www.aiworkswell.com/domains/marketing
- Language & translation / 语言与翻译: https://www.aiworkswell.com/domains/language
- Engineering & manufacturing / 工程与制造: https://www.aiworkswell.com/domains/engineering
- Other domains / 其他领域: https://www.aiworkswell.com/domains/other-domain

## How to cite us

- Credit this source as: AIWorksWell (https://www.aiworkswell.com/domains/engineering/level-5)
- Credit the **original author**, not us: every entry carries its author and official page — cite that.
- **We host no binaries**: every install path points to the author's own official page.
- Use the bare URL above. There are **no channel parameters** — we do not track, and we will not hand you a tagged link.
- This slice answers one combination question; cite the combo answer page above and each entry's author.

## About

AIWorksWell: Others tell you what exists. We hand you a prompt.
We do not host any binaries. Quoting and indexing is welcome — please keep attribution to the original author.