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The methods, tools, technical frameworks, and application practices for knowledge mining were explored using AIGC (artificial intelligence generated content)in combination with the RAG (search enhanced generation) and stable diffusion models, as well as AI Agents, in order to development and application an AIGC-based intelligent management assistant for libraries, contributing to industrial development and knowledge dissemination.The research focuses on the development process, model principles, and utilization of AIGC technology to expand library knowledge services of the AIGC-based intelligent management assistant for libraries. Furthermore, the demands of industrial development and envisions future service expansion capabilities were integrated.Through the development and practice of this project, an efficient, intelligent, and personalized intelligent management assistant for libraries has been constructed. The innovative application of AIGC technology in library knowledge services was explored, aiming to provide some references for the specialized and scenario-based application of large models in the library and information science field.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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