update

Answering_Agent.py

@@ -12,11 +12,37 @@ class Answering_Agent:
         return "Document content for ID " + doc_id
 
     def is_relevant(self, query, context_texts, history_str):
-        # Simple relevance check based on keyword presence
-        keywords = query.lower().split()
-        context = (context_texts + " " + history_str).lower()
+        # Define a list of common stop words
+        stop_words = set([
+            "the", "what", "is", "are", "in", "of", "on", "for", "and", "a", "to",
+            "an", "by", "as", "at", "about", "above", "after", "again", "against",
+            "all", "am", "an", "any", "aren't", "as", "at", "be", "because", "been",
+            "before", "being", "below", "between", "both", "but", "by", "could",
+            "couldn't", "did", "didn't", "do", "does", "doesn't", "doing", "don't",
+            "down", "during", "each", "few", "for", "from", "further", "had", "hadn't",
+            "has", "hasn't", "have", "haven't", "having", "he", "he'd", "he'll", "he's",
+            "her", "here", "here's", "hers", "herself", "him", "himself", "his", "how",
+            "how's", "i", "i'd", "i'll", "i'm", "i've", "if", "in", "into", "is", "isn't",
+            "it", "it's", "its", "itself", "let's", "me", "more", "most", "mustn't",
+            "my", "myself", "no", "nor", "not", "of", "off", "on", "once", "only", "or",
+            "other", "ought", "our", "ours", "ourselves", "out", "over", "own", "same",
+            "shan't", "she", "she'd", "she'll", "she's", "should", "shouldn't", "so",
+            "some", "such", "than", "that", "that's", "the", "their", "theirs",
+            "them", "themselves", "then", "there", "there's", "these", "they", "they'd",
+            "they'll", "they're", "they've", "this", "those", "through", "to", "too",
+            "under", "until", "up", "very", "was", "wasn't", "we", "we'd", "we'll",
+            "we're", "we've", "were", "weren't", "what", "what's", "when", "when's",
+            "where", "where's", "which", "while", "who", "who's", "whom", "why",
+            "why's", "with", "won't", "would", "wouldn't", "you", "you'd", "you'll",
+            "you're", "you've", "your", "yours", "yourself", "yourselves"
+        ])
+
+        # Filter out stop words and split query into keywords
+        keywords = [word for word in query.lower().split() if word not in stop_words]
+        context = context_texts.lower()
         return any(keyword in context for keyword in keywords)
 
+
     def generate_response(self, query, docs, conv_history, k=5, mode="chatty"):
         # Concatenate the contents of the top k relevant documents
         context_texts = "\n\n".join([f"Context {idx + 1}: {result[2]}" for idx, result in enumerate(docs)])