Update app.py

app.py

@@ -71,7 +71,7 @@ def retrieve_documents(query, retriever, embeddings):
     doc_embeddings = np.array([embeddings.embed_query(doc.page_content) for doc in results])
     similarity_scores = cosine_similarity(query_embedding, doc_embeddings)[0]
     
-    MIN_SIMILARITY = 0.5
+    MIN_SIMILARITY = 0.3
     filtered_results = [(doc, sim) for doc, sim in zip(results, similarity_scores) if sim >= MIN_SIMILARITY]
     
     print(f"🔍 Query: {query}")