🌟 Wiki of OI / ICPC for LLMs. （面向大模型的某大型游戏线上攻略，内含炫酷算术魔法）
Overview
What is mcp-oi-wiki?
The mcp-oi-wiki is a wiki platform designed for Large Language Models (LLMs) that provides resources and strategies for Online Judges (OI) and the International Collegiate Programming Contest (ICPC).
How to use mcp-oi-wiki?
To use mcp-oi-wiki, clone the repository from GitHub, configure your MCP server settings, and run the provided Python scripts to generate and query the vector database.
Key features of mcp-oi-wiki?
- Summarization of 462 OI-wiki pages using Deepseek-V3.
- Creation of a semantic vector database for efficient querying.
- Ability to generate custom databases for specific needs.
Use cases of mcp-oi-wiki?
- Assisting LLMs in retrieving programming contest strategies.
- Providing quick access to OI resources for competitive programming.
- Enabling developers to create tailored solutions for OI and ICPC.
FAQ from mcp-oi-wiki?
- What is the purpose of mcp-oi-wiki?
It aims to enhance the capabilities of LLMs by providing structured information from the OI-wiki.
- Is there a cost to use mcp-oi-wiki?
No, it is free to use as it is an open-source project.
- What technologies are used in mcp-oi-wiki?
It utilizes Python for scripting and Milvus for vector database management.