A Retrieval Augmented Generation (RAG) engine for sample context based on PAN information
- Multilinguistic model
- Support for speech input (needs thorough testing)
- Calculates evaluation score for responses generated
- Install the packages using requirements.txt
- Place all the relevant API keys in .env file. A sample file is given for reference
- run
python RAG.py