The rise of generative AI has created exciting new possibilities for organizations, but one consistent challenge remains: how to effectively integrate enterprise knowledge into AI systems. Training or fine-tuning large language models with proprietary information is often prohibitively expensive. That’s why Retrieval Augmented Generation (RAG) has emerged as a popular and cost-effective solution. What is [...] The post Retrieval Can Be the Hardest Part of RAG Solutions appeared first on For...
