Rag Knowledge Base

About

This server tool empowers developers to integrate a robust Retrieval Augmented Generation (RAG) knowledge base into their applications. It facilitates the storage, retrieval, and contextual augmentation of information, making it ideal for enhancing large language models with up-to-date and specific data. Designed for flexibility, it allows for efficient knowledge management and can be deployed within various server environments to provide dynamic, relevant insights.

Key Features

• Knowledge base management
• Claude AI compatibility
• 0 GitHub stars
• Retrieval Augmented Generation (RAG) capabilities
• MCP server integration

Use Cases

• Providing contextual search and information retrieval within server applications
• Augmenting large language models with external knowledge
• Building domain-specific intelligent agents