edgextract alternatives
Curated alternatives to edgextract — and why you'd switch.
Hyper-Extract
Knowledge-extraction CLI: LLMs turn documents into structured graphs, hypergraphs and spatio-temporal knowledge — with an MCP server for agents and Obsidian vault export.
Why switchBoth turn documents into knowledge graphs; hyper-extract lets an LLM generate the structure, edgextract asks closed yes/no questions under your ontology with a cutoff you own.
Full comparison →ontocast
Agentic ontology-assisted RDF extraction: co-evolves domain ontologies and fact graphs in a map/reduce pipeline with RDF 1.2 provenance, entity disambiguation and SHACL autofix.
Why switchBoth do ontology-guided extraction into a graph; OntoCast co-evolves the ontology with an LLM, edgextract keeps your ontology fixed and gates each link by calibrated probability.
Full comparison →docling-graph
Documents to validated knowledge graphs: Docling parses, an LLM or VLM fills Pydantic schemas, and you get a directed NetworkX graph with provenance, Cypher/CSV export and HTML views.
Why switchBoth produce validated graphs from documents; docling-graph has an LLM fill Pydantic schemas, edgextract replaces generation with per-link decisions and a review queue.
Full comparison →