Upload 4 files

app/core/prompts/evaluator_prompt.py

@@ -0,0 +1,31 @@
+# evaluator_prompt.py
+
+from langchain_core.prompts import PromptTemplate
+
+evaluator_prompt = PromptTemplate(
+    input_variables=["query", "answer", "context"],
+    template="""
+Evaluate the AI response.
+
+Rules:
+- Be strict
+- Output ONLY valid JSON
+- No explanation
+
+Query:
+{query}
+
+Answer:
+{answer}
+
+Context:
+{context}
+
+Return:
+{
+  "relevance_score": number (0 to 1),
+  "context_usage": number (0 to 1),
+  "hallucination": true/false
+}
+"""
+)

app/core/prompts/general_prompt.py

@@ -0,0 +1,15 @@
+from langchain_core.prompts import PromptTemplate
+
+
+general_prompt= PromptTemplate(
+    input_variables= ["query"],
+    template= (
+        "Answer clearly and concisely.\n"
+        "Do NOT rely on any external document.\n"
+        "Avoid long explanations.\n"
+        "Use bullet points if helpful.\n"
+        "Max 150 words.\n\n"
+        "Question:\n{query}\n\n"
+        "Answer:"        
+    )
+)

app/core/prompts/rag_prompt.py

@@ -0,0 +1,23 @@
+# rag_prompt.py
+from langchain_core.prompts import PromptTemplate
+
+
+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:"
+    )
+)

app/core/prompts/router_prompt.py

@@ -0,0 +1,17 @@
+from langchain_core.prompts import PromptTemplate
+
+router_prompt= PromptTemplate(
+    input_variables=["query"],
+    template="""
+Classify the query into ONE:
+
+- rag → requires user's uploaded document
+- general → general knowledge
+
+Query:
+{query}
+
+Return ONLY one word:
+rag or general
+"""
+)