Hello, I use VectorStoreIndex to evaluate embedding model. I think default similarity function is cos similarity. But as I check node score, they are all between (0, 1) rather than (-1, 1). It seems like maybe normalized L2 function is being used. Why all similarity score is between 0-1? Can I change default similarity function of VectorStoreIndex to some specific function instead of default cos function?
Thanks a lot. With your kind help now I know how to change similarity fn. But still 1 more question. Why all similarity scores are between (0, 1). Since I am using default COSINE fn, it should be in (-1, 1) right?