Ragie
Createdragieai
Enables AI models to retrieve information from a Ragie knowledge base using the Model Context Protocol.
About
The Ragie Model Context Protocol Server provides a crucial link between AI models and Ragie's knowledge base retrieval capabilities. By implementing the Model Context Protocol (MCP), this server allows AI models to efficiently query and retrieve relevant information, enhancing their ability to access and utilize the valuable insights stored within the Ragie knowledge base. It offers a single powerful 'retrieve' tool, configurable with parameters such as query text, result quantity, reranking preference, and recency bias, making it easy to integrate Ragie's knowledge retrieval into various AI applications.
Key Features
- Supports customizable search parameters like topK, rerank, and recencyBias.
- Provides a 'retrieve' tool for querying the Ragie knowledge base.
- Provides configuration examples for Cursor and Claude desktop environments.
- Implements Model Context Protocol (MCP) for seamless integration with AI models.
- Offers command-line options for overriding the tool description and specifying the Ragie partition ID.
Use Cases
- Enabling AI models to access and utilize knowledge from a specific Ragie partition.
- Customizing the search description for the 'retrieve' tool.
- Integrating Ragie's knowledge retrieval into AI-powered chatbots.