-{"@context":"https://schema.org","@type":"BlogPosting","dateModified":"2024-10-22T13:36:58+02:00","datePublished":"2024-10-22T13:36:58+02:00","description":"📝 Description The main idea is to build graphs of documents, graphs of topics contained in them, connecting abstract concepts and ideas inside the documents. We want to detect important news, automatically classify documents and get detailed information about a topic. The approach is in the same vein as Retrieval Augmented Generation RAG but we want to leverage the graph structure for a better retrieval of information.","headline":"Graph of text data, using large language models","mainEntityOfPage":{"@type":"WebPage","@id":"http://localhost:4000/theses/text-data/"},"publisher":{"@type":"Organization","logo":{"@type":"ImageObject","url":"http://localhost:4000/figs/NGMLGlogo2.png"}},"url":"http://localhost:4000/theses/text-data/"}</script>
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