[NOTICKET][doc] validate embedding vector for NaN/Infinity in manhattan retriever

src/rag/retrievers/document.py

@@ -1,5 +1,7 @@
 """Document retriever — handles PDF, DOCX, TXT chunks (source_type="document", non-tabular)."""
 
+import math
+
 from langchain_postgres import PGVector
 from langchain_postgres.vectorstores import DistanceStrategy
 from langchain_openai import AzureOpenAIEmbeddings
@@ -123,6 +125,8 @@ class DocumentRetriever(BaseRetriever):
         self, query: str, user_id: str, k: int, fetch_k: int
     ) -> list[RetrievalResult]:
         query_vector = await _embeddings.aembed_query(query)
+        if not all(math.isfinite(v) for v in query_vector):
+            raise ValueError("Embedding vector contains NaN or Infinity values.")
         vector_str = "[" + ",".join(str(v) for v in query_vector) + "]"
 
         async with _pgvector_engine.connect() as conn: