nodegoat Workshops in Barcelona and Zaragoza

CORE Admin

Two opportunities to learn more about using nodegoat for your research projects!

On January 22 we will organise a nodegoat workshop together with the GRACPE project (Grup de Recerca sobre l'Arqueologia de la Complexitat i els Processos d'Evolució social) at the Faculty of Geography and History, University of Barcelona. The venue will be Sala Jane Adams (Carrer de Montalegre, 6) and the workshop will take place on January 22 between 9AM and noon. The entry is free and no registration is needed. For further information please contact: sd.prehistoria.arqueologia@ub.edu

Thanks to Maria Del Rocio Da Riva Muñoz for organising this event.

On January 23 we will organise a nodegoat workshop together with the project 'Narremas y Mitemas: Unidades de Elaboración Épica e Historiográfica' at the Facultad de Filosofía y Letras, Universidad de Zaragoza. The venue will be Sala de Grados (Pedro Cerbuna, 12) and the workshop will take place on January 23 between 4PM and 7PM. More info and registration: https://eventos.unizar.es/127926/detail/nodegoat-workshop-an-introduction-to-a-web-based-research-environment-for-the-humanities.html

Thanks to Celia Delgado Mastral and Marta Añorbe Mateos for organising this event.

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Latest Blog Posts

Data and Dialogue: Retrieval-Augmented Generation in nodegoat

CORE Admin

We have extended nodegoat in order to be able to communicate with large language models (LLMs). Conceptually this allows users of nodegoat to prompt their structured data. Technically this means nodegoat users are able to create vector embeddings for their objects and use these embeddings to perform retrieval-augmented generation (RAG) processes in nodegoat.

This development connects three of nodegoat’s main functionalities into a dynamic workflow:  Linked Data Resources, the new vector store (nodegoat documentation: Object Descriptions, see ‘vector’), and Filtering. The steps to take are as follows:

Vector Embedding

The first step is to use one or multiple Reversed Collection templates to determine the textual content for each Object. This step transforms any dataset stored as structured data into a textual representation that can be used as input value for the generation of a vector embedding. This allows the user to select only those elements that are relevant for the process.

A Reversed Collection using a template (left) to collect structured data into full text (right).

Next, the textual representation of each Object is sent to an LLM in order to create an embedding for each Object. The communication between nodegoat and an LLM is achieved by making use of Linked Data Resources and Ingestion Processes.[....]

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Upcoming nodegoat workshops

CORE Admin

In the next couple of months we will be running these events at various locations throughout Europe. Find the latest information about this here: https://nodegoat.net/workshop

  • 05-02-2026: nodegoat Workshop at the University of Basel organised by the Research and Infrastructure Support team and the Swiss National Data and Service Center for the Humanities.
  • 19-02-2026: nodegoat Workshop at the University of Jena.
  • 25-03-2026: Workshop: Einführung in nodegoat at the University of Bonn.
  • 16-04-2026: nodegoat Workshop at the Research Centre of the Slovenian Academy of Sciences and Arts in Ljubljana.
  • 24-04-2026: nodegoat Workshop at KU Leuven, organised by CLARIAH-VL.
  • 10-07-2026: nodegoat Curious: Building a Custom Relational Database for Your Research at the Digital Medieval Studies Institute, IMC Leeds.
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