vectorstore final

rag/vectorstore.py

@@ -46,8 +46,6 @@ class _LazyHuggingFaceEmbeddings(Embeddings):
         self._init()
         return await self._real.aembed_query(text)  # type: ignore[attr-defined]
 
-
-# Use a lazy embeddings object so loading the FAISS index does not force heavy model initialization unless embeddings are actually required.
 _EMBEDDING_MODEL = "sentence-transformers/all-MiniLM-L6-v2"
 _embeddings = _LazyHuggingFaceEmbeddings(_EMBEDDING_MODEL, encode_kwargs={"normalize_embeddings": True})