OI-Wiki Semantic Search

Example Use Cases

• 1

  Access OI-Wiki knowledge through semantic search.

• 2

  Enhance large language models with OI-Wiki content.

• 3

  Integrate OI-Wiki summaries into MCP workflows.

Description

This MCP server uses Deepseek-V3 to summarize and embed 462 pages of OI-Wiki into a vector database, enabling semantic search by matching query vectors to the closest wiki markdown content. It integrates with MCP servers via the 'uv' command and supports updating the vector database with new summaries using Silicon Flow API. The server leverages lightweight vector databases and embedding libraries to enhance large language models with OI-Wiki knowledge.