You almost certainly don't want to use MiniLM-L6-v2.
MiniLM-L6-V2 is for symmetric search: i.e. documents similar to the query text.
MiniLM-L6-V3 is for asymmetric search: i.e. documents that would have answers to the query text.
This is also an amazing lesson in...something: sentence-transformers spells this out, in their docs, over and over. Except never this directly: i.e. it has a doc on how to make a proper search pipeline, and a doc on the correct model for each type of search, but not a doc saying "hey use this"
And yet, I'd wager there's $100+M invested in vector DB startups who would be surprised to hear it.
You almost certainly don't want to use MiniLM-L6-v2.
MiniLM-L6-V2 is for symmetric search: i.e. documents similar to the query text.
MiniLM-L6-V3 is for asymmetric search: i.e. documents that would have answers to the query text.
This is also an amazing lesson in...something: sentence-transformers spells this out, in their docs, over and over. Except never this directly: i.e. it has a doc on how to make a proper search pipeline, and a doc on the correct model for each type of search, but not a doc saying "hey use this"
And yet, I'd wager there's $100+M invested in vector DB startups who would be surprised to hear it.