Update src/content/docs/vectorize/best-practices/query-vectors.mdx

Author: sejoker

src/content/docs/vectorize/best-practices/query-vectors.mdx

@@ -72,7 +72,7 @@ Refer to [Vectorize API](/vectorize/reference/client-api/) for additional exampl
 When querying vectors, you can specify to either use high-precision scoring, thereby increasing the precision of the query matches scores as well as the accuracy of the query results, or use approximate scoring for faster response times.
 Using approximate scoring, returned scores will be an approximation of the real distance/similarity between your query and the returned vectors; this is the query's default as it's a nice trade-off between accuracy and latency.
 
-High-precision scoring is enabled by setting `returnValues: true` on your query; this tells Vectorize to use the original vector values for your matches, which enables the computation of exact scores of matches, increasing the accuracy of the results. Because it processes more data though, high-precision scoring will increase the latency of queries.
+High-precision scoring is enabled by setting `returnValues: true` on your query. This setting tells Vectorize to use the original vector values for your matches, allowing the computation of exact match scores and increasing the accuracy of the results. Because it processes more data, though, high-precision scoring will increase the latency of queries.
 
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