document-embeddings
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
uses tokenized & carefully summarized journals to query an LLM for analysis, based also on user-defined YAML attributes
Clustering sentence embeddings to extract message intent
