refactor: Update agentic_rag_gpt5 to use new Knowledge class and improve URL management

- Replaced UrlKnowledge with Knowledge for better document loading.
- Enhanced session state management for URLs to prevent duplicates.
- Updated placeholder URLs and query prompts for clarity.
- Adjusted requirements.txt to specify a minimum version for the 'agno' package.

rag_tutorials/agentic_rag_gpt5/README.md

@@ -105,49 +105,3 @@ An agentic RAG application built with the Agno framework, featuring GPT-5 and La
 - **Query Input**: Large text area for custom questions
 - **Real-time Streaming**: Live answer generation
 - **Markdown Rendering**: Beautiful formatted responses
-
-## 🛠️ Technical Details
-
-### Dependencies
-```
-streamlit>=1.28.0
-agno>=0.1.0
-openai>=1.0.0
-lancedb>=0.4.0
-python-dotenv>=1.0.0
-```
-
-### Key Features
-- **Event Filtering**: Only shows `RunResponseContent` events for clean output
-- **Safe Attribute Access**: Prevents errors from missing attributes
-- **Caching**: Efficient resource loading with Streamlit caching
-- **Error Handling**: Graceful handling of API and processing errors
-
-## 🔍 Troubleshooting
-
-### Common Issues
-
-**ModelProviderError with max_tokens**
-- ✅ Fixed: Uses `max_completion_tokens` instead of `max_tokens`
-
-**Tool calls appearing in output**
-- ✅ Fixed: Filters to only show `RunResponseContent` events
-
-**Knowledge base not loading**
-- Check OpenAI API key is valid
-- Ensure URLs are accessible
-- Verify internet connection
-
-### Performance Tips
-- **Cache Resources**: Knowledge base and agent are cached for efficiency
-- **Streaming**: Real-time updates without blocking
-- **LanceDB**: Fast local vector search without external dependencies
-
-## 🎯 Use Cases
-
-- **Documentation Q&A**: Ask questions about technical documentation
-- **Research Assistant**: Get answers from multiple knowledge sources
-- **Learning Tool**: Interactive exploration of complex topics
-- **Content Discovery**: Find relevant information across multiple sources
-
-**Built with ❤️ using Agno, GPT-5, and LanceDB**