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CommunityJev Tools & CLIs
Byeori
Self-hosted scientific wiki that stores paper PDFs in your AWS account, writes one structured evidence note per paper, and answers questions from those notes with citations.
- Stars
- 26
- Language
- Python
- License
- APACHE-2.0
- Published by
- Community
- Author
- joonan-lab
- Last verified
- Oct 2026
About this project
Byeori is a scientific knowledge system that a lab installs in its own AWS account. The original PDF of every paper is kept in S3. A Claude model running in Amazon Bedrock reads each paper's full text and writes one evidence note for it; further pages then synthesise across those notes. A search index over all the pages is rebuilt in AWS, and a question service answers from the wiki with citations. Every page records where it came from: the paper's identifiers, the hash of the stored PDF, and the model that wrote…
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- Python
Highlights
- Originals, extraction output, figures, and supplements live immutably in one S3 bucket outside the search index.
- Notes follow fixed sections with author-stated limits first and at most three model-added reviewer notes.
- Concept and overview pages are generated only from member notes, with every finding linked to its source.
- Search is a BM25 index over notes and synthesis pages, rebuilt nightly and on demand, with catalogs excluded.
Watch out
Needs administrator-level AWS setup with Bedrock model access plus local Docker and CLI tooling, and this is a public beta. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
Each evidence note records the paper identifiers, the stored PDF hash, and the model and settings that wrote it, and synthesis pages link down to the notes they were written from.
No. Per-question answer pages and their by-page hubs are deliberately kept out of the index and reached by link, so notes keep the result slots.
The documented measurements put note writing at about $0.24 per paper plus a small extraction fee, research questions at a few dollars each, and idle months near storage and key charges only.
No. Note text is not rewritten by synthesis, new pages cite member notes per finding, and concept pages require at least five notes carrying a term before one is created.
An AWS account with an administrator user, Bedrock model access for the Claude models in your region, a free OpenAlex API key, and locally a terminal with Docker, uv and the AWS CLI; this release is a public beta.
It is a BM25 search over the concept, overview and question pages with a links table between them, rebuilt in AWS nightly or on demand with byeori build-index, leaving out drafts, failed pages, non-ready notes, the catalogs and the member answers.
Everything lives in one S3 bucket: papers/{stem}/ holds the original PDF, GROBID-extracted clean.md, figures and supplementary files, and the wiki layers above link down through the note's pdf_path and pdf_sha256.
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