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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}")
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