Clustering Unstructured Text with LLM Embeddings and HDBSCAN

LLM embeddings combined with HDBSCAN enable clustering of unstructured text beyond chat interfaces. The approach converts text into vector representations, then groups similar documents without predefined categories. This technique works for tasks like topic discovery and document organization, leveraging LLMs for semantic understanding rather than just conversation.