Fraunhofer-IIS/RAGonite
This repository contains code for the RAGonite project, a flexible RAG pipeline developed by the NLP team at Fraunhofer IIS, Erlangen, Germany. RAGONITE supports conversational question answering over heterogeneous data, iterative retrieval over structured and unstructured sources, automated database induction from knowledge graphs, and much more.
RAGonite helps you get precise answers to complex questions by drawing information from diverse sources like documents, tables, and knowledge graphs, even having a conversation with you to refine your query. It takes your natural language questions and provides accurate, explained answers, perfect for knowledge managers, researchers, or anyone needing to query vast and varied information repositories.
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Use this if you need to quickly find specific answers by asking natural language questions across a wide range of company documents, internal wikis, or specialized databases.
Not ideal if you only need to search simple text documents or already have a highly structured database that's easily queryable without needing conversational interaction.
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Jun 18, 2025
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