RAGen
A lightweight, no-Docker local RAG for Windows and Linux using Ollama and Chroma
What XERJ indexed
Selected work
“Improve Ollama diagnostics and recovery”. 15 files, 493 lines in rag, the project root, hono-chat.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-15. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
chromadblocal-llmlocal-ragollamaragtypescriptwindowslinux
Example questions
- How does RAGen implement chromadb?
- Where does RAGen handle “Improve Ollama diagnostics and recovery”?
- What does rag do in RAGen?
The prompt
Paste it into your AI agent. It clones CarlesCanos/RAGen at the pinned commit and indexes it on your machine.
Search the GitHub repository CarlesCanos/RAGen with XERJ (https://hub.xerj.org/corpus/carlescanos--ragen). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/CarlesCanos/RAGen RAGen && git -C RAGen checkout d8dbcb8ad750e64c1ec9b552bfcfac5563ed92bc 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./RAGen --url http://127.0.0.1:9200 --prefix ragen --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
CarlesCanosAI, prompts and agents corporalexbuildcognitamkcertEthanChan050430/Saki-Panelaryanjsx/LocusNanKillBro/glassy-music-nankill
Selected work and consent: the XERJ registry.