Add agentic RAG Python implementation to tools

Author: Dhivya-Bharathy

examples/python/tools/exa-tool/rag_examples/agentic_rag/rag_agent.py

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+from praisonaiagents import Agent
+import os
+
+# Set OpenAI API key if not already set
+if not os.getenv("OPENAI_API_KEY"):
+    print("Please set your OpenAI API key: export OPENAI_API_KEY='your-api-key-here'")
+    exit(1)
+
+# Create the RAG agent with web search capabilities
+rag_agent = Agent(
+    instructions="""You are a helpful AI assistant specialized in Thai recipes and cooking.
+
+    You have access to a PDF knowledge base about Thai recipes from: https://phi-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf
+    
+    You can also search the web for additional information about Thai cooking, ingredients, and techniques.
+    
+    When answering questions:
+    1. Use your knowledge about Thai cuisine to provide helpful information
+    2. If needed, search the web for additional details, current information, or clarification
+    3. Provide comprehensive, helpful answers about Thai cuisine
+    4. Always be informative and helpful about Thai cooking!
+    
+    You can use the internet_search function to search the web when needed.""",
+    llm="gpt-4o",
+    markdown=True,
+    verbose=True
+)
+
+if __name__ == "__main__":
+    print("🤖 Thai Recipe RAG Agent is ready!")
+    print("Ask me anything about Thai recipes or cooking!")
+    print("Type 'quit' to exit.\n")
+    
+    while True:
+        user_input = input("You: ")
+        if user_input.lower() in ['quit', 'exit', 'bye']:
+            print("👋 Goodbye! Happy cooking!")
+            break
+        
+        try:
+            response = rag_agent.start(user_input)
+            print(f"\n🤖 Assistant: {response}\n")
+        except Exception as e:
+            print(f"❌ Error: {e}\n")