Nexus
Full-stack AI RAG workspace with hybrid search, real-time streaming, and queue-based document indexing
A new way for AI to search for data
2GitHub stars
What XERJ indexed
Selected work
“voice/language smoke + e2e coverage”. 4 files, 519 lines in apps/backend, apps/frontend.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-23. 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
- Where does Nexus handle “voice/language smoke + e2e coverage”?
- What does apps/backend do in Nexus?
The prompt
Paste it into your AI agent. It clones Pranesh-Selvaraj/Nexus at the pinned commit and indexes it on your machine.
Search the GitHub repository Pranesh-Selvaraj/Nexus with XERJ (https://hub.xerj.org/corpus/pranesh-selvaraj--nexus). 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/Pranesh-Selvaraj/Nexus Nexus && git -C Nexus checkout 86f265bccbe9840caf0bfc021848aeb7ae8f44c3 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Nexus --url http://127.0.0.1:9200 --prefix nexus --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
Pranesh SelvarajAI, prompts and agents corpora
Selected work and consent: the XERJ registry.