added RAG (both populate and search + tg bot example)

[MichielMAnalytics]

Summary

Added RAG (Retrieval-Augmented Generation) Pinecone plugin that enables knowledge base creation, management, and querying with Telegram bot integration.

Links

Plugin documentation: Located in game-python/plugins/RAGPinecone/README.md
Issue link (if applicable): N/A
Other useful links: https://docs.pinecone.io/docs/overview

Plugin Documentation Checklist

• README Validation
  [x] Clear installation instructions
  [x] Usage examples with code snippets
  [x] List of features and capabilities
  [x] Troubleshooting guide (if applicable)
  [x] Contribution guidelines (if applicable)

• Metadata Validation
  [x] Complete metadata provided in reference to plugin metadata template

Dev Testing

(Include where applicable)

Screenshots/GIFs: N/A
Video Demonstrations: N/A
Logs or Console Outputs: Successfully tested with Telegram bot integration and Google Drive document retrieval
Testing steps for the plugin:
Install the plugin dependencies
Set up environment variables (PINECONE_API_KEY, OPENAI_API_KEY, GAME_API_KEY, TELEGRAM_BOT_TOKEN)
Run populate_knowledge_base.py to load documents into the vector database
Run test_rag_pinecone_telegram.py to start the Telegram bot with RAG capabilities
Test queries in Telegram that require knowledge retrieval

Additional Notes

• Future enhancements:
  Add support for more document types
  Implement document versioning and update tracking
  Add caching mechanism to improve response times
  Optimize embedding generation for better performance

• Known limitations:
  Large documents may take time to process
  Currently optimized for text-based content, multimedia content requires additional processing
  Requires OpenAI API key for embeddings generation
  Google Drive integration requires public sharing settings for folders

[Ang-dot]

Thanks for the PR @MichielMAnalytics! It's very well documented, appreciate it!