Stable state

src/rag/manager.py

@@ -150,7 +150,8 @@ class RAGManager:
         self, query: str, top_k: int = 5, summarize: bool = False
     ) -> List[ContextUpdate]:
         """
-        Retrieves the top-K most relevant snippets for a given query.
+        Retrieves the top-K most relevant snippets for a given query,
+        filtering for those with a similarity score > 0.7.
         """
         if not self.index:
             print("Index not initialized. Please ingest documents first.")
@@ -160,6 +161,9 @@ class RAGManager:
         retriever = self.index.as_retriever(similarity_top_k=top_k)
         nodes = retriever.retrieve(query)
 
+        # Filter nodes by similarity score (threshold > 0.7)
+        nodes = [node for node in nodes if node.score >= 0.7]
+
         if summarize:
             return self.summarize_results(query, nodes)