RAG Server
Provides a Model Context Protocol (MCP) server for managing organizational content, enabling listing, searching, deleting, and uploading files and URLs via a content service API.
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The RAG (Retrieval-Augmented Generation) server offers a robust Python implementation of the Model Context Protocol (MCP), designed to facilitate comprehensive management of an organization's digital content. It acts as an intermediary, exposing a suite of powerful tools that interact with an underlying content service API. Users can leverage this server to programmatically list available content, perform semantic searches across the organization's database, delete specific entries, and upload new content in the form of files or URLs. This enables seamless integration with RAG applications, enhancing their ability to retrieve and augment generations with up-to-date and relevant organizational knowledge.
Características Principales
- Delete specific content from the organization's database by ID
- Upload content URLs about the organization
- Search through the organization's content database using semantic search
- Upload content files about the organization
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- List content names from the organization's database, with optional name filtering
Casos de Uso
- Programmatically managing and organizing enterprise digital content through a standardized API.
- Building custom applications that require semantic search and retrieval of information from an organizational content repository.
- Integrating an organization's internal knowledge base with Retrieval-Augmented Generation (RAG) systems.