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🤖 New Example: Agentic RAG with DeepSecure

This PR adds a comprehensive Agentic RAG (Retrieval-Augmented Generation) example that demonstrates:

🔐 Security Features

  • Secure API key management via DeepSecure vault
  • CLI bridge pattern for robust secret retrieval
  • Environment authentication (bypasses keychain issues)
  • Agent identity audit trails

🧠 Technical Features

  • Complete LangGraph workflow with query generation, document grading, and answer synthesis
  • Web document processing (Lilian Weng's blog posts)
  • Integration with Novita LLM API
  • Advanced text chunking and vector storage

📁 Files Added

  • examples/08_agentic_rag_with_deepsecure.py - Complete working example
  • Updated examples/README.md - Full documentation with setup instructions

🧪 Tested & Working

  • ✅ DeepSecure authentication
  • ✅ Secret retrieval from vault
  • ✅ Document processing pipeline
  • ✅ LLM API integration
  • ✅ End-to-end RAG workflow

Perfect for developers wanting to see real-world DeepSecure integration with modern AI frameworks!

- Add example 08: Complete Agentic RAG system using LangGraph
- Demonstrates secure API key management with DeepSecure vault
- Includes CLI bridge pattern for robust secret retrieval
- Features document processing, query generation, and answer synthesis
- Showcases environment authentication and agent identity management
- Updated examples README with comprehensive documentation
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