Building Cost-Efficient RAG Apps with Intel Gaudi 2 and Xeon

AI Impact Summary

Intel Gaudi 2 and Xeon processors offer a cost-effective solution for building RAG applications by leveraging optimized inference on the Gaudi 2 AI accelerators and leveraging the Granite Rapids CPU for embedding models. This architecture, combined with LangChain and Hugging Face models like BAAI/bge-base-en-v1.5, enables developers to create RAG applications with a focus on reducing total cost of ownership (TCO) through efficient hardware utilization and optimized model deployments.