Digbi Health are an innovative company that treat patients with chronic health conditions like obesity and diabetes. As part of their pre-qualification process, Digby Health use a voice agent to answer common questions about their treatments. Their ontology pays particular attention to the relationships between patient symptoms, pre-existing conditions and current medications to answer questions with maximum precision.
To prototype a voice agent that can accurately answer in-depth technical questions about airframes and their components, a custom ontology determines the acceptable categories of nodes and entities and the structure of relationships between them. This ontology is used to generate a knowledge base of technical information about airframes and their components, with deep emphasis on the relationships between parts.
Rebil created a voice agent that enables car owners to ask questions about their car and get precise answers, consdering their vehicle's owner manual and maintenance records. To do this, a vehicle-related ontology was created to define the nodes and entities which apply to a car and the relationships between them, before ingesting the vehicle's owner manual and maintenance records.
Dimando are innovators in the field of creative and technical solutions. To add a voice agent to their website that can handle inbound sales enquiries 24/7, their team have created a custom ontology that defines their products, services and business logic. They are then able to ingest documents from their Notion database to power their voice agents.
An ontology is a formal representation of the concepts, relationships, and rules that define a domain of knowledge. It provides a structured way to describe the entities, attributes, and relationships in a domain, enabling more precise and contextual information retrieval.
Ontologies are used to define the structure of knowledge graphs, which are used to represent and reason about complex domains. They enable more accurate and efficient information retrieval, reasoning, and decision-making in domains like customer support, product information, sales lead evaluation, and document management.
Ontologies are used by enterprise customers who need to build knowledge graphs for complex domains. They are also used by developers who need to build custom ontologies for their specific use cases. Examples of specific companies using ontologies include Palantir, Google, Amazon, and most enterprise-level graph RAG companies.
By providing a structured way to represent and reason about complex domains, ontologies enable more accurate and efficient information retrieval, reasoning, and decision-making. They allow for more precise and contextual information retrieval by leveraging both semantic similarity and structured relationships in your data. They also make entity resolution and graph reasoning more accurate.
OWL is a widely used language for defining ontologies. It provides a formal way to describe the concepts, relationships, and rules in a domain, enabling more precise and contextual information retrieval. OWL is used in a wide range of applications, including customer support, product information, sales lead evaluation, and document management.
You can find examples of ontologies either by using our ontology library in app or clicking on the 'Resources' link in the footer of this website.
