Retrieval Augmented Generation (RAG) Inference Engines with LangChain on CPUs

Exploring scale, fidelity, and latency in AI applications with RAG

While Retrieval Augmented Generation (RAG) is extensively covered, particularly in its application to chat-based LLMs, in this article we aim to view it from a different perspective and analyze its prowess as a powerful operational tool. We will also provide a useful hands-on example to get practical experience with RAG-based applications. By the end of the article, you’ll develop a unique vantage point …

ai ai applications aim analyze application applications article chat cpus data science fidelity inference langchain latency llmops llms machine learning nightcafe perspective property rag retrieval retrieval augmented generation scale software engineering