This article will delve into what RAG promises and its practical reality. We’ll explore how RAG works, its potential benefits, and then share firsthand accounts of the challenges we’ve encountered, the solutions we’ve developed, and the unresolved questions we continue to investigate. Through this, you’ll gain a comprehensive understanding of RAG’s capabilities and its evolving […]
In this article, we’ll explore the use of prompt compression techniques in the early stages of development, which can help reduce the ongoing operating costs of GenAI-based applications. Often, generative AI applications utilize the retrieval-augmented generation framework, alongside prompt engineering, to extract the best output from the underlying large language models. However, this approach may […]