Retrieval Augmented Generation with Huggingface Transformers and Ray

📰 Hugging Face Blog

Hugging Face integrates Ray into Retrieval Augmented Generation (RAG) for faster and more scalable contextual document retrieval

advanced Published 10 Feb 2021

Action Steps

Integrate Ray into the RAG contextual document retrieval mechanism
Use the Ray library to speed up retrieval calls and improve scalability
Fine-tune RAG models using the integrated Ray library

Who Needs to Know This

NLP engineers and researchers can benefit from this integration to improve the performance of their RAG models, while software engineers can appreciate the scalability benefits of using Ray

Key Insight

💡 Integrating Ray into RAG can improve retrieval call speed by 2x and enhance scalability