RAG и базы знаний
trove-ai
Read-later + AI knowledge base for the Chinese internet
★ 184 звездыNOASSERTION
Смотреть руководство →vexor — проект с открытым исходным кодом из категории «RAG и базы знаний» от scarletkc (scarletkc/vexor на GitHub). У него 242 звезды на GitHub и 15 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 2 октября 2026.
Semantic search engine designed for files and code.
The README documents setup; start with the install section.
Change the config to match your workflow, then run it daily.
Decide what you want vexor to do first — semantic search engine designed for files and code.
Pull the latest changes to stay current with fixes.
Works with Anthropic Claude models.
Drive it from the terminal.
Working codex support built in.
Turns text into searchable vectors.
Readable code that is easy to modify.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/scarletkc/vexor.git
cd vexorInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
That depends on the feature. Local-capable parts run offline; anything calling a cloud API needs a connection. Check the docs.
Read-later + AI knowledge base for the Chinese internet
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Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к vexor — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.