Integration Proposal: CAJAL Scientific Paper Generator for QAnything
Author: Agnuxo1Created May 2, 2026Updated May 2, 2026
Proposal: Add CAJAL Paper Generation to QAnything
What: A QAnything integration for generating publication-ready scientific papers via local LLM.
Why this fits QAnything:
- QAnything is the RAG question-answering system — researchers need paper generation alongside document retrieval
- CAJAL generates 7-section papers with real arXiv citations
- 100% local, zero API cost
- MIT licensed, open source
Integration approach:
- QAnything plugin for paper generation
- Local LLM inference (supports BAAI/Intel embeddings)
- Combined RAG + paper generation workflow
Implementation: https://github.com/Agnuxo1/CAJAL
Genuine contribution. Happy to follow QAnything conventions.
Source: netease-youdao/QAnything