Leveraging Ontotext’s Eligibility Design Assistant for Effective Patient Population Selection

Read about how Ontotext’s Eligibility Design Assistant combines highly normalized knowledge graphs with large language models for quick and reliable selection of clinical trial eligibility criteria

Technology July 2, 2024 8 mins. read Ivelina NikolovaKaterina SerafimovaKaterina SerafimovaGeorgi IlievGeorgi IlievTodor PrimovTodor Primov

A Triple Store RAG Retriever

Learn how Semantic Partners used Ontotext GraphDB’s vector capabilities to build a simple RAG retriever over a Knowledge Graph, using open, offline LLM models

Technology May 29, 2024 11 mins. read Matteo Casu

Okay, RAG… We Have a Problem

We compare how the different Graph RAG patterns can address the problem of lacking background knowledge that the naive “chunky” RAG hits, including the use of NLQ and external context derived from Wikidata via entity linking

Technology April 26, 2024 12 mins. read Neli Hateva

Using GraphDB’s Natural Language Interface to Talk with Your Content

Explore our innovative “Talk to Your Graph” feature for natural language data querying in OTKG and learn about integration with vector databases for enhanced data retrieval.

Technology March 29, 2024 7 mins. read Bob DuCharmeRadostin NanovRadostin Nanov

Event Extraction Based on Fine-Tuned Text2Event Transformer Speeds up the Fact-checking Process

Learn about EDNA (Event Detector for Narrative Analysis) extracts events from text to find out who did what, when, where, and why. EDNA untangles patterns in disinformation related to a particular event and uncovers links between events based on actors, places, time, and concepts.

Technology March 22, 2024 10 mins. read Petar Ivanov