拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.

This project implements the A* Search Algorithm to find the shortest path in a randomly generated maze. Using the Manhattan Distance heuristic, the algorithm efficiently navigates through the maze and determines the optimal route from the start node to the goal node. The solution is visualized using the Pyamaze library, making the search process ea

Projects from the Udacity Flying Car and Autonomous Flight Engineer Nanodegree — covering 3D motion planning, control, and estimation for autonomous flying vehicles.