这是围绕"动力装备知识库 / RAG / GraphRAG / 顶刊实验"重新整理后的工程工作区。

conda create -n graphrag python=3.11 -y conda activate graphrag pip install -r requirements.txt # 当前仅启用阶段0(数据获取)依赖 注意：本机默认 ...

如果把所有压力都交给 dense retrieval，它会漏掉“不相似但路径相关”的答案；如果把所有压力都交给 LLM agent，它会太贵；如果朴素扩图，又会爆炸。SeedER 的中间路线很清晰：先用 cheap semantic seed 缩小区域，再用 learned local policy 控制扩展，最后把高召回候选交给 ...

Here is a recap of what happened in the search forums today, through the eyes of the Search Engine Roundtable and other search forums on the web. Google now sends searchers to the publisher-hosted AMP ...

AHOY unveils its Perception Suite, the world's first sovereign deployable toolkit unifying perception, intelligence, and ...

AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?