Geometric RAG Engine

Example Use Cases

• 1

  Perform semantically relevant information retrieval using geometric and statistical methods.

• 2

  Integrate local data infrastructures with global AI models via a standardized JSON-RPC protocol.

• 3

  That require a scalable, containerized environment for real-time data processing and vector search.

Description

This MCP server provides an advanced Retrieval-Augmented Generation (RAG) engine that leverages Information Geometry concepts such as tensor geometry and manifold analysis. It converts business data into statistical manifolds, enabling AI to navigate contexts through metric and spatial relations. The system integrates vector representation, cosine similarity regulation, and the Model Context Protocol (MCP) for standardized communication between local infrastructure and global models via JSON-RPC.