Pull Request for Issue #461: Introducing /apps/voice_rag/ - A Demo Application for RAG in Vocode OpenSource

[arpagon]

Pull Request for Issue #461: Introducing /apps/voice_rag/ - A Demo Application for RAG in Vocode OpenSource

Overview:

This pull request introduces a new demo application, /apps/voice-rag/, designed to showcase the implementation and functionality of Retrieval-Augmented Generation (RAG) in the Vocode OpenSource project. This application serves as a practical example and a guide for users and developers interested in understanding how RAG can be utilized in voice processing and AI conversational models.

Key Components Added:

1. /apps/voice_rag/ Directory: Contains all the files and resources for the demo application.
2. .env.template File: Provides a template for setting up necessary environment variables, including various API keys.
3. Docker Support: Includes a Dockerfile and associated configuration (environment.docker.yml) for easy setup and deployment of the demo application.
4. Application Code (main.py): The main script of the demo, integrating FastAPI, Azure Synthesizer, Deepgram Transcriber, and other components to demonstrate RAG in action.
5. Pinecone Ingestion (Jupyter Notebook): A detailed notebook explaining the process of document ingestion into Pinecone, crucial for the RAG setup.
6. Enhanced Documentation: Updated README.md and new documentation in rag.mdx, specifically focusing on the demo application and RAG technology.

Purpose and Impact:

• This demo application is a key addition to the Vocode OpenSource documentation, providing a real-world example of RAG technology in use.
• It serves as an educational tool for developers and users, offering insights into the practical integration of advanced AI conversational models with voice recognition technology.

Testing and Validation:

• Extensive testing has been conducted to ensure the demo application's smooth operation and accurate representation of RAG technology.
• The Docker setup has been verified for its functionality and ease of use.

Additional Notes:

• I welcome feedback and suggestions for enhancing this demo application further.
• Future updates might include more complex scenarios or additional features to showcase the versatility of RAG in Vocode OpenSource.

Closing:

Thank you for reviewing this pull request. Your feedback is invaluable in making this demonstration as effective and informative as possible. I am eager to see how this contributes to the understanding and adoption of RAG technology in the Vocode OpenSource community.

[ajar98]

looks amazing @arpagon !

[arpagon]

Thank you, @ajar98, I have already incorporated all the feedback.