Rag-saas-RetrivoVault

The research assistant that only knows what you've read: a production-grade, individual-focused RAG SaaS. Streaming, citation-backed…

A new way for AI to search for data
View on GitHub
2GitHub stars

JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 36d8b9ae1f (2026-10-10).

Selected work

Ahmad Hassan
@Ahmadhsn1

“Create the vector index on boot; add offline AI mode and an API smoke…”. 11 files, 281 lines in backend.

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

embeddingsexpressfull-stackgeminimongodb-atlasnodejsragreact

Example questions

The prompt

Paste it into your AI agent. It clones Ahmadhsn1/Rag-saas-RetrivoVault at the pinned commit and indexes it on your machine.

Search the GitHub repository Ahmadhsn1/Rag-saas-RetrivoVault with XERJ (https://hub.xerj.org/corpus/ahmadhsn1--rag-saas-retrivovault).
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/Ahmadhsn1/Rag-saas-RetrivoVault Rag-saas-RetrivoVault && git -C Rag-saas-RetrivoVault checkout 36d8b9ae1f9f55fc02abed4ddc5ff8d223f8fd2f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Rag-saas-RetrivoVault --url http://127.0.0.1:9200 --prefix rag-saas-retrivovault --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

Selected work and consent: the XERJ registry.