Neural Graph Mapper

This one takes messy unstructured text and builds semantic knowledge graphs you can actually query. You'd reach for it when you need to extract entities and relationships from documents, articles, or any text blob and turn that into a structured graph representation. It runs as a remote service over SSE, so you point it at text and get back queryable nodes and edges that capture meaning and connections rather than just keywords. Useful when you're building systems that need to understand document relationships or when you want to navigate concepts in a corpus without manual tagging. The neural processing handles the entity recognition and relationship mapping so you don't have to roll your own NLP pipeline.