added the priority to the table data

index_retriever.py

@@ -22,7 +22,7 @@ def create_query_engine(vector_index):
         vector_retriever = VectorIndexRetriever(
             index=vector_index, 
             similarity_top_k=30,
-            similarity_cutoff=0.7
+            similarity_cutoff=0.8
         )
         
         hybrid_retriever = QueryFusionRetriever(
@@ -56,21 +56,33 @@ def rerank_nodes(query, nodes, reranker, top_k=10):
     try:
         log_message(f"Переранжирую {len(nodes)} узлов")
         
-        pairs = []
-        for node in nodes:
-            pairs.append([query, node.text])
+        # Separate tables and images from text nodes
+        table_nodes = [node for node in nodes if node.metadata.get('type') == 'table']
+        image_nodes = [node for node in nodes if node.metadata.get('type') == 'image']
+        text_nodes = [node for node in nodes if node.metadata.get('type', 'text') == 'text']
         
-        scores = reranker.predict(pairs)
+        priority_nodes = table_nodes + image_nodes
         
-        scored_nodes = list(zip(nodes, scores))
-        scored_nodes.sort(key=lambda x: x[1], reverse=True)
+        # Rerank only text nodes
+        if text_nodes:
+            pairs = []
+            for node in text_nodes:
+                pairs.append([query, node.text])
+            
+            scores = reranker.predict(pairs)
+            scored_nodes = list(zip(text_nodes, scores))
+            scored_nodes.sort(key=lambda x: x[1], reverse=True)
+            reranked_text_nodes = [node for node, score in scored_nodes]
+        else:
+            reranked_text_nodes = []
         
-        reranked_nodes = [node for node, score in scored_nodes[:top_k]]
-        log_message(f"Возвращаю топ-{len(reranked_nodes)} переранжированных узлов")
+        # Combine: priority nodes first, then reranked text nodes
+        final_nodes = priority_nodes + reranked_text_nodes
+        result = final_nodes[:top_k]
+        
+        log_message(f"Возвращаю {len(priority_nodes)} приоритетных узлов и {len(result) - len(priority_nodes)} текстовых узлов")
+        return result
         
-        return reranked_nodes
     except Exception as e:
         log_message(f"Ошибка переранжировки: {str(e)}")
-        return nodes[:top_k]
-    
-
+        return nodes[:top_k]