Upgraded embedding model to voyage-3.5, updated README.md

README.md

@@ -8,11 +8,15 @@ In kongruity, the artifacts become "sticky notes." A board full of them looks ch
 
 With a click, they are semantically evaluated, grouped into thematic clusters with descriptive headers, rankable and exportable to project planning and execution tools.
 
+## Voyage AI voyage-3.5
+
+![Embedding model benchmarking.](Voyage.jpg)
+
 ## Clustering and evaluation: methodology
 
 Two models run in parallel, and neither sees the other's work. Anthropic's `claude-sonnet-5` (`backend/services/clustering.service.js`) reads the raw text of every note and groups them into labeled thematic clusters. 
 
-At the same time, Voyage AI's voyage-3 model (`backend/services/embedding.service.js`) converts each note's text into a numeric representation of its semantic meaning aka vector. 
+At the same time, Voyage AI's voyage-3.5 model (`backend/services/embedding.service.js`) converts each note's text into a numeric representation of its semantic meaning aka vector. 
 
 Once the LLM returns, kongruity scores that grouping (`backend/services/validation.service.js`) using an established silhouette coefficient, with cosine distance rather than Euclidean as the proximity metric. 
 

backend/services/embedding.service.js

@@ -27,7 +27,7 @@ export const embedNotes = async (notes) => {
             for await (const chunk of batches) {
                 const response = await client.embed({
                     input: chunk.map((n) => n.text),
-                    model: "voyage-3",
+                    model: "voyage-3.5",
                 });
 
                 response.data.forEach((item, i) => {

frontend/src/components/stickies.tsx

@@ -95,7 +95,7 @@ const Stickies = () => {
                 <div className="clusters-container">
                     {score != null && (
                         <div className="cohesion-score">
-                            Cluster cohesion: {scoreLabel(score)}
+                            Cluster cohesion: <strong>{scoreLabel(score)}</strong>
                         </div>
                     )}
                     {rankedClusters.map((group, index) => (

frontend/src/styles/stickies.css

@@ -40,10 +40,12 @@
 }
 
 .cluster-header {
+    position: relative;
     display: flex;
     align-items: center;
     gap: 12px;
     margin-bottom: 16px;
+    min-height: 32px;
 }
 
 .cluster-rank {
@@ -69,13 +71,18 @@
 }
 
 .cluster-label {
+    position: absolute;
+    left: 50%;
+    transform: translateX(-50%);
+    max-width: 50%;
     margin: 0;
     font-size: 1.2em;
     font-weight: 600;
-  flex: 1;
+    pointer-events: none;
 }
 
 .cluster-drag-handle {
+    margin-left: auto;
     font-size: 1.4em;
     color: #6dd6f4;
     opacity: 0.4;