Add embeddings example script

Add examples/embeddings.py demonstrating AIMLAPI embeddings usage with model 'text-embedding-3-small'. The script creates embeddings for two sample texts, prints the first 5 dimensions of each embedding, and computes their cosine similarity using numpy. Serves as a simple usage example; requires aimlapi and numpy.

Author: D1m7asis

examples/embeddings.py

@@ -0,0 +1,26 @@
+from aimlapi import AIMLAPI
+import numpy as np
+
+aimlapi = AIMLAPI()
+
+
+response = aimlapi.embeddings.create(
+    model="text-embedding-3-small",
+    input=[
+        "The quick brown fox jumped over the lazy dogs",
+    ],
+)
+
+similar_response = aimlapi.embeddings.create(
+    model="text-embedding-3-small",
+    input="The dogs were not happy that the fox jumped over them",
+)
+
+print(response.data[0].embedding[:5])  # Print first 5 dimensions of embedding for first input
+print(similar_response.data[0].embedding[:5])  # Print first 5 dimensions of embedding for similar input
+
+# Calculate cosine similarity between the two embeddings (expected: 0.6747... or similar, since the inputs are semantically similar)
+print("Cosine similarity:",
+      np.dot(response.data[0].embedding, similar_response.data[0].embedding) /
+      (np.linalg.norm(response.data[0].embedding) * np.linalg.norm(similar_response.data[0].embedding))
+      )