mcp-oi-wiki
The 'mcp-oi-wiki' project is designed to enhance large language models by integrating OI-Wiki content using vector embeddings. It supports querying through a database of semantic vectors, offering efficient access to summarized information from OI-Wiki.
What is the purpose of mcp-oi-wiki?
The purpose of mcp-oi-wiki is to enhance large language models with the structured and detailed knowledge from OI-Wiki by embedding its content into semantic vectors for efficient retrieval.
How can I update the OI-Wiki database?
You can update the OI-Wiki database by generating your own db/oi-wiki.db using the provided scripts and Silicon flow API key.
What technologies are used in mcp-oi-wiki?
mcp-oi-wiki uses Deepseek-V3 for semantic vector embedding, Milvus for vector database management, and integrates with MCP servers for deployment.
Is mcp-oi-wiki open source?
Yes, mcp-oi-wiki is built on open-source technologies and contributions from projects like Milvus and Fastembed.
What is required to run mcp-oi-wiki?
To run mcp-oi-wiki, you need to have uv installed and configure your MCP server settings as described in the usage instructions.