BP_CBG faiss_1m_v2

app.py

@@ -13,8 +13,8 @@ import datetime
 title_text_dataset = load_dataset("suanan/BP_CBG_POC", split="train", num_proc=4).select_columns(["url", "title", "text"])
 
 # Load the int8 and binary indices. Int8 is loaded as a view to save memory, as we never actually perform search with it.
-int8_view = Index.restore("index/BP_CBG_int8_usearch_1m.index", view=True)
-binary_index: faiss.IndexBinaryFlat = faiss.read_index_binary("index/BP_CBG_ubinary_faiss_1m.index")
+int8_view = Index.restore("index/BP_CBG_int8_usearch_1m_v2.index", view=True)
+binary_index: faiss.IndexBinaryFlat = faiss.read_index_binary("index/BP_CBG_ubinary_faiss_1m_v2.index")
 # binary_ivf: faiss.IndexBinaryIVF = faiss.read_index_binary("BP_ubinary_ivf_faiss_50m.index")
 
 # Load the SentenceTransformer model for embedding the queries