mcp-oi-wiki
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The mcp-oi-wiki project enhances large language models with the OI-Wiki knowledge base.
The mcp-oi-wiki project integrates the OI-Wiki knowledge base with large language models to enhance their capabilities. It uses Deepseek-V3 to summarize the 462 pages of OI-Wiki, embedding these summaries into semantic vectors and storing them in a vector database. When a query is made, the system finds the closest vector in the database and returns the corresponding wiki markdown. This approach allows for efficient retrieval of relevant information from the OI-Wiki, making it a valuable resource for users seeking detailed and accurate information on various topics. The project also provides tools for updating the database with new summaries, ensuring that the information remains current and comprehensive.
Features
- Integration with OI-Wiki: Enhances language models with a comprehensive knowledge base.
- Semantic Vector Embedding: Uses Deepseek-V3 to create semantic vectors for efficient information retrieval.
- Vector Database: Stores and retrieves information using a vector database for fast access.
- Custom Database Updates: Allows users to generate and update their own database with new summaries.
- Open Source Tools: Utilizes open-source tools like Milvus Lite and Fastembed for vector management.
