docs: update snippet to not use normalization

README.md

@@ -93,8 +93,8 @@ embeddings = model.encode(texts, quantization="binary") # Shape: (5, 2560), quan
 > Text Embeddings Inference v1.9.0 will be released stable soon, in the meantime
 > feel free to use the latest containers or rather via SHA ``.
 
-> [!NOTE]
-> Currently, only int8-quantized embeddings are available via TEI.
+> [!IMPORTANT]
+> Currently, only int8-quantized embeddings are available via TEI. Remember to use cosine similarity with unnormalized int8 embeddings.
 
 - CPU w/ Candle:
 
@@ -124,14 +124,14 @@ And then you can send requests to it via cURL to `v1/embeddings` following the [
 curl http://0.0.0.0:8080/v1/embeddings \
   -H "Content-Type: application/json" \
   -d '{
-    "input": [
+    "inputs": [
       "Scientists explore the universe driven by curiosity.",
       "Children learn through curious exploration.",
       "Historical discoveries began with curious questions.",
       "Animals use curiosity to adapt and survive.",
       "Philosophy examines the nature of curiosity.",
     ],
-    "model": "pplx-embed-1-4B"
+    "normalize" false
   }'
 ```