Knowledge Graph

This article explains the terminology for building a Knowledge Graph within the XO Platform. This terminology applies to both the Few-Shot and the Ontology KG Models unless otherwise specified. Learn more about Knowledge Graph Types. Terms or Nodes Terms or Nodes are the building blocks of an ontology and are…

FAQs allow you to add question-answer sets to your Knowledge Graph and map them to related ontology terms. This feature improves intent recognition and increases the performance of your VA. Note: There is a limit of 50k FAQs over 20k nodes to avoid performance issues. Notes on the Few-Shot Knowledge…

The Answer from Documents feature helps answer end-user queries from unstructured PDF documents without the need to extract individual FAQs and train them. This feature leverages a Large Language Model (LLM) and Generative AI models from OpenAI or Azure OpenAI integration to generate answers by processing uploaded documents and user…

The XO Platform’s Knowledge AI lets you use FAQs and unstructured documents to improve intent identification for user queries. This feature includes two modules – Knowledge Graph (Ontology-based and Few-Shot) and Answer from Documents. Knowledge Graph The Knowledge Graph (KG) lets you turn static FAQ text into an intelligent, personalized…

The Kore.ai platform provides a Taxonomy-based model in the Knowledge Graph to enhance the path qualification. The default Knowledge Graph model works on a two-step model i.e. path qualification and followed by question matching. The path need not be fully qualified at all times. Even a partial path match (above…

A careful analysis of the Knowledge Graph helps in detecting errors in your questions and the path associated with them that hamper the user experience. The Knowledge Graph (KG) Diagnosis tool helps you identify any inefficiencies in your KGs and suggests possible corrective actions. These are just guidelines and you…

The performance of the  Knowledge Graph is based on proper organization based upon key domain terms, and on establishing a hierarchy. Building the FAQs is easy when you start fresh with the Knowledge Graph, but in case you have a list of questions-answer pairs, converting it into a fully functional…

A component of Kore.ai’s XO Platform, the Knowledge Graph (KG), helps you turn static FAQ text into an intelligent, personalized conversational experience. It goes beyond the usual practice of capturing FAQs as flat question-answer pairs, allowing you to either build an ontology structure or leverage Kore.ai’s LLM to simplify knowledge…