Changing 'queries' verbiage. (#295)

Co-authored-by: Trent Fowler <[email protected]>

fern/pages/v2/text-embeddings/reranking/reranking-best-practices.mdx

@@ -38,7 +38,7 @@ If you would like more control over how chunking is done, we recommend that you
 
 ## Queries
 
-Our Rerank models (`rerank-v3.0` and `rerank-v3.5`) are trained with a context length of 4096 tokens. The model takes into account both the input from the query and documents. If your query is larger than 2048 tokens, it will be truncated to the first 2048 tokens.
+Our `rerank-v3.5` and `rerank-v3.0` models are trained with a context length of 4096 tokens. The model takes both the _query_ and the _document_ into account when calculating against this limit, and the query can account for up to half of the full context length. If your query is larger than 2048 tokens, in other words, it will be truncated to the first 2048 tokens (leaving the other 2048 for the document(s)).
 
 ## Structured Data Support