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In this article I illustrate how to achieve intent alignment by making use of the Kore.ai XO Platform Intent Discovery Tool.

A Chain-of-Thought is only as strong as its weakest link; a recent study from Google Research created a benchmark for Verifiers of Reasoning Chains

Seven RAG Engineering Failure Points Retrieval-Augmented Generation (RAG) systems remains a compelling solution to the challenge of relevant up-to-date reference data at inference time. Integrating retrieval mechanisms with the generative capabilities of LLMs & RAG systems can synthesise accurate, up-to-date and contextually relevant information.

UniMS-RAG: Unified Multi-Source RAG for Personalised Dialogue. Considerable development has taken place in the area of RAG, especially in adding structure and multi-document approaches.UniMS-RAG: Unified Multi-Source RAG for Personalised Dialogue. Considerable development has taken place in the area of RAG, especially in adding structure and multi-document approaches.

Revolutionize enterprise search with AI-driven contextual responses, improving efficiency and breaking down knowledge silos with Retrieval-Augmented Generation (RAG) technology.

Discover how Retrieval-Augmented Generation (RAG) transforms enterprise search by breaking knowledge silos and delivering faster, context-rich insights.