added llm and rag queries

kg_ocr/embeddings/indexer.py

@@ -15,9 +15,4 @@ def create_and_index(
     return embeddings
 
 
-def query_embedding(
-    embeddings: Embeddings, query: str, limit: int = 100
-) -> list[str]:
-    """Search embeddings and return matching texts."""
-    results = embeddings.search(query, limit)
-    return [r["text"] for r in results]
+