Lower your Large Language Model costs with Graphwise GraphDBThis blog post explores why GraphDB can help lower the cost of LLMs in production as compared to a pure vector database-based approach.Dec 6, 2024Dec 6, 2024
Advancing Automatic Knowledge Extraction with PubMiner AIWith the release of PubMiner AI, Graphwise aims to help researchers in the biomedical domain overcome the challenges in automatic knowledge…Nov 22, 2024Nov 22, 2024
Deploying Ontotext GraphDB on AWSA guide for deploying an Ontotext GraphDB high-availability cluster in your own AWS accountSep 27, 2024Sep 27, 2024
GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning…Learn about three GraphDB-powered use cases in machine learning, software engineering, and e-health.Sep 11, 2024Sep 11, 2024
Advancing Clinical Diagnostics with Knowledge GraphsAn abbreviated & updated version of a talk from Ontotext’s KGF 2023 by Eban Tomlinson, Director of Sales and Marketing at SemaphoreAug 9, 2024Aug 9, 2024
Inside Ontotext AcademyLearn about semantic web standards and knowledge graph application development for free with Ontotext AcademyAug 2, 2024Aug 2, 2024
The PPR Modeling Paradigm: Enhancing Automation with Semantic Description ModelsDelve into the PPR modeling paradigm and its application in cognitive robot systemsJun 27, 2024Jun 27, 2024
Riding the Databricks Wave with Hybrid Knowledge GraphsThis is an abbreviated and updated version of a presentation from Ontotext’s KGF 2023 by Peter Hopfgartner, CEO at OntopicJun 6, 2024Jun 6, 2024
Matching Skills and Candidates with Graph RAGHow we used Ontotext GraphDB and LLMs to improve CV selectionMay 31, 2024May 31, 2024
A Triple Store RAG RetrieverLearn how Semantic Partners used Ontotext GraphDB’s vector capabilities to build a simple RAG retriever over a Knowledge GraphMay 29, 2024May 29, 2024
