RAGmortem
RAGmortem is an experimental open-source debugger for Retrieval-Augmented Generation applications. It helps developers investigate whether…
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work

“add 1-line LangChain and LlamaIndex callback hand…”. 3 files, 472 lines in src/ragmortem, tests.
Licence
The repository
Apache-2.0
Checked by a person at the pinned commit.
The XERJ corpus
Apache-2.0, with credit
The author agreed by email on 2026-10-24. 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
Example questions
- What does src/ragmortem do in RAGmortem?
The prompt
Paste it into your AI agent. It clones deveshkolte/RAGmortem at the pinned commit and indexes it on your machine.
Search the GitHub repository deveshkolte/RAGmortem with XERJ (https://hub.xerj.org/corpus/deveshkolte--ragmortem). 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/deveshkolte/RAGmortem RAGmortem && git -C RAGmortem checkout 0ba2cd109735dd8c6a74c75c7b347546cbd49c85 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./RAGmortem --url http://127.0.0.1:9200 --prefix ragmortem --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: Apache-2.0. Keep the copyright notice and credit the authors.
Related
Devesh KolteAPI design and specification corpora
Selected work and consent: the XERJ registry.