My Dear Watson, it is Great to Have Someone to Talk to
Join us to learn how we empower users to sift through a large pool of data with the help of a trusted assistant – the GraphDB 10.8 Talk To Your Graph agent.
AI in Action
Semantization of Regulatory Documents in AECO
Learn how knowledge graphs combined with the latest natural language processing technologies aid regulatory information extraction and processing from unstructured data.
Advancing Automatic Knowledge Extraction with PubMiner AI
PubMiner AI aims to help researchers in the biomedical domain overcome the challenges in automatic knowledge extraction from large volumes of scientific publications.
Using Entity Linking to Turn Your Graph into a Knowledge Graph
Ontotext’s Tag service can recognize entities and assign standard identifiers that let you enrich your graphs.
Leveraging Ontotext’s Eligibility Design Assistant for Effective Patient Population Selection
Combining highly normalized knowledge graphs with large language models for quick and reliable selection of clinical trial eligibility criteria
A Triple Store RAG Retriever
How we used Ontotext GraphDB’s vector capabilities to build a simple RAG retriever over a Knowledge Graph, using open, offline LLM models