ontocastAgentic 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 turn documents into knowledge graphs with an LLM. hyper-extract goes wide — hypergraphs, spatio-temporal knowledge, MCP, Obsidian export; OntoCast goes deep on correctness: ontology co-evolution, provenance, disambiguation and SHACL validation.
Full comparison → docling-graphDocuments 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 turn documents into graphs with an LLM in the loop. hyper-extract emits hypergraphs and spatio-temporal knowledge with an MCP server for agents; docling-graph insists on validated Pydantic types and per-element provenance for high-precision domains.
Full comparison → knowledge_graphNotebook recipe that turns any text corpus into a concept graph with a local Mistral 7B via Ollama — chunk, extract concepts and relations, add proximity edges — for Graph RAG and KG QA.
Why switchSame idea, grown up: hyper-extract is a CLI that has LLMs turn documents into graphs and hypergraphs with structure; knowledge_graph is the one-notebook version that shows the mechanics.
Full comparison → semanticaGraph-native context infrastructure for accountable AI: ingest enterprise data, extract a knowledge/context graph (RDF + LPG), run graph analytics and causal reasoning with decision provenance.
Why switchBoth LLM-extract knowledge graphs from enterprise sources; hyper-extract stops at extraction with an MCP server, Semantica wraps extraction in governance, analytics and causal reasoning.
Full comparison → ontobricksTurns Databricks Unity Catalog tables into a materialized knowledge graph: OWL ontology design, R2RML mapping, OWL 2 RL/SWRL/SHACL reasoning, auto-generated GraphQL — exposed to agents over MCP.
Why switchTwo roads to a knowledge graph: hyper-extract LLM-extracts from documents, OntoBricks ontology-maps from governed tables. Pick by where your truth lives — files or the warehouse.
Full comparison →