fojin
Buddhist Digital Text Platform, 10,500+ texts, 613 sources, trilingual cross-canon, AI Q&A (RAG), knowledge graph, full-text search
Not yet testedsource: GitHubhomepagePythonApache-2.0commit b38d9cc3c87e
Python, Apache-2.0 licensed. The project labels itself: ai, buddhism, buddhist studies, chinese classics, digital humanities, docker, elasticsearch and fastapi.
fojin has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
aibuddhismbuddhist-studieschinese-classicsdigital-humanitiesdockerelasticsearchfastapifull-text-searchknowledge-graphnlpopen-sourcepaliparallel-readingragreactsanskritsemantic-searchtibetan
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/fojin)Questions
- Does fojin run?
- fojin has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test fojin?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for fojin?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.