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check_faiss.py

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+import faiss
+
+index_path = "my_embeddings"  # Adjust if saved elsewhere
+
+try:
+    index = faiss.read_index(index_path)
+    print(f"📊 FAISS index contains {index.ntotal} vectors.")
+    
+    # ✅ Check embedding dimensions
+    d = index.d
+    print(f"✅ Embedding dimension: {d}")
+    
+    # ✅ Retrieve and print a few embeddings
+    if index.ntotal > 0:
+        vectors = index.reconstruct_n(0, min(5, index.ntotal))  # Get first 5 embeddings
+        print(f"🧐 Sample embeddings: {vectors}")
+    else:
+        print("⚠️ No embeddings found in FAISS index!")
+
+except Exception as e:
+    print(f"❌ ERROR: Failed to load FAISS index - {e}")