optimizations: lower durability, massively increase ai embedding batch size

also fix that one clippy warning

1 files changed, 3 insertions, 3 deletions

diff --git a/src/embedders/ai.rs b/src/embedders/ai.rs
index 7d31a6b..582c9c1 100644
--- a/src/embedders/ai.rs
+++ b/src/embedders/ai.rs
@@ -42,8 +42,8 @@ impl<Metric: VecMetric> ContentEmbedder<'_, Metric> {
         // per-image basis. Thus, we first try embedding 64 images at once, and if that fails, fall
         // back to passing them to fastembeds one-by-one, so that we can get all the non-failure
         // results.
-        for chunk in paths.chunks(64) {
-            match embedder.embed(chunk.iter().collect(), Some(8)) {
+        for chunk in paths.chunks(256) {
+            match embedder.embed(chunk.iter().collect(), None) {
                 Ok(embeds) => res.extend(embeds.into_iter().map(|e| Ok(e.into()))),
                 Err(_) => {
                     // embed one by one
@@ -61,7 +61,7 @@ impl<Metric: VecMetric> ContentEmbedder<'_, Metric> {
                     res.append(&mut embeds);
                 }
             }
-            bar.inc(64);
+            bar.inc(256);
         }
 
         Ok(res)