Remove Data Processing Remove Knowledge Discovery Remove Management Remove Metadata
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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This means having the ability to define and relate all types of metadata.

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Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

The examples below use OpenAI’s ChatGPT, but they can be applied against other LLM chatbots, including self-hosted ones. However, Talk to Your Graph manages to answer us when we ask: We can modify the query template that ChatGPT uses for query generation to include additional filters such as author, creation time of the texts or others.