Update app.py

app.py

@@ -12,8 +12,14 @@ import json
 import io
 
 app = FastAPI()
-model = SentenceTransformer('mixedbread-ai/mxbai-embed-large-v1')  #('paraphrase-MiniLM-L6-v2')
-embedding_dimension = 384 # 384 is the dimensionality of the MiniLM model
+#model = SentenceTransformer('paraphrase-MiniLM-L6-v2')
+#embedding_dimension = 384 # 384 is the dimensionality of the MiniLM model
+#1. Specify preffered dimensions
+embedding_dimension = 512
+# 2. load model
+model = SentenceTransformer("mixedbread-ai/mxbai-embed-large-v1", truncate_dim=embedding_dimension)
+
+
 index = faiss.IndexFlatL2(embedding_dimension)  
 documents = []