Develop a lightweight Python application that integrates a local LLM (TinyLlama or Qwen) with a knowledge graph system. Enable users to build, query, and visualize interconnected knowledge structures. Features include graph visualization, semantic relationships, entity extraction, and contextual reasoning powered by the embedded knowledge graph.
Develop a lightweight Python application that integrates a local LLM (TinyLlama or Qwen) with a knowledge graph system. Enable users to build, query, and visualize interconnected knowledge structures. Features include graph visualization, semantic relationships, entity extraction, and contextual reasoning powered by the embedded knowledge graph.