graph-rag-agent/ β”œβ”€β”€ agent/ # πŸ€– Agent 樑块 - 核心亀互层 β”‚ β”œβ”€β”€ base.py # Agent 基类 β”‚ β”œβ”€β”€ graph_agent.py # εŸΊδΊŽε›Ύη»“ζž„ηš„ Agent β”‚ β”œβ”€β”€ hybrid_agent.py # 混合搜紒 Agent β”‚ β”œβ”€β”€ naive_rag_agent.py ...
As a data-driven analysis and decision-making tool, student portraits have gained significant attention in education ...
Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...
Abstract: The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered ...
The wide application of deep learning techniques has spotlighted the issue of adversarial perturbations. While much attention has been paid to the adversarial and intangible aspects, feasibility is ...