Update app/graph/nodes/rag_answer_node.py

app/graph/nodes/rag_answer_node.py

@@ -1,49 +1,4 @@
-# # app/graph/rag_answer_node.py
-
-# from langchain_core.prompts import PromptTemplate
-# from app.core.llm_engine import run_llm
-# from app.core.prompts.rag_prompt import rag_prompt
-# # rag_prompt = PromptTemplate(
-# #     input_variables=["context", "query"],
-# #     template=(
-# #         "You are a document intelligence system.\n"
-# #         "Answer ONLY using the provided context.\n"
-# #         "If answer is not present, say: 'Not in document'.\n\n"
-
-# #         "Keep response concise:\n"
-# #         "- Short explanation\n"
-# #         "- Bullet points if useful\n"
-# #         "- Max 120 words\n\n"
-
-# #         "Avoid repeating the question.\n\n"
-
-# #         "Context:\n{context}\n\n"
-# #         "Question:\n{query}\n\n"
-# #         "Answer:"
-# #     )
-# # )
- 
-# def rag_answer_node(state):
-#     response = run_llm(rag_prompt, {
-#         "context": state.get("context", ""),
-#         "query": state.get("query")
-#     })
-
-#     return {
-#         **state,
-#         "final_answer": response
-#     }
-
-
-
-
-
-
-
-
-
-
-
+# app/graph/rag_answer_node.py
 
 from app.core.llm_engine import llm
 from app.core.prompts.rag_prompt import rag_prompt