So maybe what we can do is we can just find everything with another index, like a traditional B-tree index or a bitmap index that's blue, and then evaluate all the vectors.

因此， 我们或许可以借助另一种引，比如传统的B树引或位图引——假设它是蓝色的， 来检所有相关内容，然后再对这些向量进行评估。

Making our notation a little more compact again, I'll call this big matrix W down, and similarly call that bias vector B down, and put that back into our diagram.

让我们再次使符号更紧凑一些，我把这个大的矩阵W， 并且类似地把那个偏置向量B，并把它们放回我们的图中。

GraphRag combines vector similarity search with graph traversal, enabling higher accuracy when retrieving information from disparate yet interconnected data sources.

GraphRAG结合了向量相似性搜与图遍历技术，从而在从分散但互联的数据源中检信息时， 能够实现更高的准确性。

Focus on is the velocity vector for our point in the diagram, showing which direction its moving and how quickly.

关注的是图中该点的速度向量，显示它移动的方向和速度。