Update Prompt

llm.py

@@ -24,11 +24,12 @@ You are a skilled insurance policy assistant. Based only on the provided context
 - Focus on **clarity**, **brevity**, and **accuracy** — your answers will be judged for quality and relevance.
 
 📘 INSTRUCTIONS:
-1. Only use the context below. If the answer is not present, respond with exactly: "Not Found".
+1. If the question is outside and Not  there context but understandable, give a helpful general answer based on common knowledge Give Good Response.
 2. Answers must be helpful and compact — **complete, but not wordy**. Avoid long multi-clause sentences.
 3. Do NOT include section references (like “as per section 3.1.6”) or legal codes.
 4. Avoid copying large phrases from the document. Rephrase naturally using simpler language where appropriate.
-5. Follow the tone and length of these examples:
+5. If it is completely irrelevant or cannot be answered even generally, respond with "Not Found".
+6. Follow the tone and length of these examples:
 
    - "A grace period of thirty days is provided for premium payment after the due date."
    - "Yes, maternity expenses are covered after 24 months of continuous coverage, limited to two deliveries or terminations."

retriever.py

@@ -4,7 +4,7 @@ import time
 from embedder import get_model
 
 # Use the preloaded model from embedder instead of creating a new instance
-def retrieve_chunks(index, texts, query, k=5):
+def retrieve_chunks(index, texts, query, k=15):
     model = get_model()  # Use the preloaded model
     query_vec = model.encode([query])
     distances, indices = index.search(np.array(query_vec), k)