AI Resource Set Processor

Example Use Cases

• 1

  Semantically search interconnected AI model data with graph-aware relevance.

• 2

  Generate chat completions based on AI model descriptions and relationships.

• 3

  Embed and store AI model information for efficient retrieval and reasoning.

Description

This MCP server operates on top of resource sets, which are collections of interconnected AI models abstracting low-level implementation details. It provides 'Narrator' processors that describe model elements and their relationships in multiple ways, enabling semantic explanations and reasoning. The system supports embedding generation, vector storage, semantic search, and chat completions, facilitating advanced AI-driven interactions and retrieval based on both semantic and graph distances.