DocuMate-AI

A secure, on-device RAG chatbot for multi-PDF analysis built with Python, LangChain, and Ollama, featuring semantic caching and precise…

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit e3caf9ce6d (2026-10-20).

Selected work

jr7122004j-dot
@jr7122004j-dot

“modernize configuration, logging, and shared exceptions”. 10 files, 722 lines in src/documate_ai, test, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. 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

The prompt

Paste it into your AI agent. It clones jr7122004j-dot/DocuMate-AI at the pinned commit and indexes it on your machine.

Search the GitHub repository jr7122004j-dot/DocuMate-AI with XERJ (https://hub.xerj.org/corpus/jr7122004j-dot--documate-ai).
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/jr7122004j-dot/DocuMate-AI DocuMate-AI && git -C DocuMate-AI checkout e3caf9ce6d90c2932fab8230f4499f163f58e9a5
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./DocuMate-AI --url http://127.0.0.1:9200 --prefix documate-ai --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.