Ambrogio: Code improvements

Modified files:
- llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/ai_arxiv_agent_memory.py
- advanced_tools_frameworks/cursor_ai_experiments/multi_agent_researcher.py
- advanced_tools_frameworks/local_llama3.1_tool_use/llama3_tool_use.py
- rag_tutorials/rag_chain/app.py
- rag_tutorials/hybrid_search_rag/main.py

llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/ai_arxiv_agent_memory.py

@@ -29,6 +29,17 @@ if all(api_keys.values()):
     search_query = st.text_input("Research paper search query")
 
     def process_with_gpt4(result):
+        """Processes an arXiv search result to produce a structured markdown output.
+
+    This function takes a search result from arXiv and generates a markdown-formatted
+    table containing details about each paper. The table includes columns for the 
+    paper's title, authors, a brief abstract, and a link to the paper on arXiv. 
+
+    Args:
+        result (str): The raw search result from arXiv, typically in a text format.
+
+    Returns:
+        str: A markdown-formatted string containing a table with paper details."""
         prompt = f"""
         Based on the following arXiv search result, provide a proper structured output in markdown that is readable by the users. 
         Each paper should have a title, authors, abstract, and link.