by PangHu1020 · Agent Tool · ★ 52
A beginner-friendly and extensible Agentic RAG project that demonstrates the full pipeline of document parsing, retrieval, reranking, workflow orchestration, tool calling, and answer generation, designed for both learning and secondary development.
| Stars | 52 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 35.45/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-19 |
| Created | 2026-03-29 |
| Platforms | python |
| Est. Tokens | ~3079k |
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scholar-rag is A beginner-friendly and extensible Agentic RAG project that demonstrates the full pipeline of document parsing, retrieval, reranking, workflow orchestration, tool calling, and answer generation, desig. It is categorized as a Agent Tool with 52 GitHub stars.
scholar-rag is primarily written in Python.
You can find installation instructions and usage details in the scholar-rag GitHub repository at github.com/PangHu1020/scholar-rag. The project has 52 stars and 6 forks, indicating an active community.
scholar-rag is released under the MIT license, making it free to use and modify according to the license terms.