RAG & Knowledge
trove-ai
Read-later + AI knowledge base for the Chinese internet
★ 184 starsNOASSERTION
View guide →Semantic search engine designed for files and code.
vexor is an open-source rag & knowledge project by scarletkc (scarletkc/vexor on GitHub). It has 242 GitHub stars and 15 forks, is released under the MIT license, and was last updated on GitHub on 2 October 2026.
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.
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