psychedelics_knowledge_graph

An automated pipeline that transforms psychedelic research literature into a structured, queryable knowledge graph

A new way for AI to search for data
View on GitHub
6GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit ee4b9e4845 (2026-09-19).

Selected work

Povilas Karvelis
@povilaskarvelis

“Harden API query and pagination contract”. 5 files, 283 lines in services, tests, api.

Licence

The repository

Apache-2.0

From GitHub's licence detection. A person still checks the LICENSE file at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-21. 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 povilaskarvelis/psychedelics_knowledge_graph at the pinned commit and indexes it on your machine.

Search the GitHub repository povilaskarvelis/psychedelics_knowledge_graph with XERJ (https://hub.xerj.org/corpus/povilaskarvelis--psychedelics-knowledge-graph).
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/povilaskarvelis/psychedelics_knowledge_graph psychedelics_knowledge_graph && git -C psychedelics_knowledge_graph checkout ee4b9e484541e55ff3af55b46647c5aff471752b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./psychedelics_knowledge_graph --url http://127.0.0.1:9200 --prefix psychedelics-knowledge-g --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

Selected work and consent: the XERJ registry.