🤖AI-Driven Chatbot for the PANGAEA Ecosystem

💬 ChatPANGAEA

ChatPANGAEA is an AI-driven chatbot developed within the SmartReps project and the DataNord Research Academy. It is tailored to support the PANGAEA data ecosystem by making its complex internal knowledge base—especially wiki pages and guidelines—easily searchable and interactive.

Using a combination of Retrieval-Augmented Generation (RAG), Information Retrieval, and Large Language Models (LLMs), ChatPANGAEA enables users to engage in real-time conversations that provide accurate, contextual answers. Each response is backed by references to the original sources, ensuring traceability and trust.

In addition to searching internal resources, users can upload their own documents or reference external websites, allowing for broader, personalized support during the data submission or curation process.

ChatPANGAEA is particularly valuable for data curators and researchers, as it reduces time spent navigating documentation, clarifies data workflows, and improves the quality and consistency of curated datasets within the PANGAEA infrastructure.

💬 ChatQualiservice

ChatQualiservice is a domain-specific AI assistant created to support researchers and data curators working with qualitative research data at Qualiservice. Developed under the SmartReps project and supported by the DataNord Research Academy, it aims to simplify access to submission guidelines, ethical protocols, data protection rules, and internal documentation.

By leveraging RAG-based architecture and LLMs, ChatQualiservice delivers real-time, context-aware answers directly from trusted documentation sources. This ensures users receive not only fast but also reliable responses to their questions, minimizing the need to manually search through complex materials.

It supports interaction with internal documents and user-uploaded content, helping users clarify their responsibilities, understand repository standards, and streamline the process of preparing qualitative data for submission.

ChatQualiservice empowers social science researchers and data stewards by improving efficiency, reducing uncertainty, and fostering a more user-friendly approach to managing sensitive and complex datasets.

ChatPANGAEA and ChatQualiservice:

Developed as part of the SmartReps project under the DataNord Research Academy, empowers data curators with faster, more accurate, and context-specific solutions, helping to ensure the quality and accessibility of curated data in the PANGAEA ecosystem, Qualiservice data sharing.