Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
trusted-rag-banking
面向银行业监管制度与统计报表的可信 RAG 问答系统 — 第五届中国研究生金融科技创新大赛
Project facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-06-13
- GitHub stars
- 0
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
生成层使用 OpenAI 兼容接口,通过 `OPENAI_BASE_URL` 和 `LLM_MODEL` 配置供应商与模型,默认目标为 `deepseek-v4-flash`。问题类型与表格坐标由 TypeSafe System One(`typesafe-sdk`)做类型化判断,使用独立的 `TYPESAFE_API_KEY`,候选选项由代码从题面和索引真实标签枚举。服务端保留完整对话原文,模型调用则按 64K/128K/200K 分层预算选取证据、滚动摘要和最新消息,并预留 8K–16K 输出空间。
Evidence commit: 100d924f6bcbaf63a7acc8178eb978857139e98c
Discovered through: github-search.
How we review →