Kanon 2 Enricher – the first hierarchical graphitization model
58-task-head model that extracts + links entities + maps doc hierarchy—no hallucinations like LLMs.
CogDB Demo: Text → Knowledge Graph → Semantic Search
CogDB integration is the differentiator, but text-to-KG is a solved pattern.
Data engineers, knowledge management teams
LlamaIndex · LangChain · Neo4j GenAI
58-task-head model that extracts + links entities + maps doc hierarchy—no hallucinations like LLMs.
Dialectic thesis-antithesis-synthesis research loop is novel but clearly alpha software.
Cross-project knowledge graph with contradiction detection when Cursor and Cody already exist.
Four-tier entity extraction pipeline beats single-LLM approaches for FOIA document analysis.
End-to-end and local-first: point it at PDFs or docs, and it extracts entities/relations with LLMs, proposes merges for you to approve in a terminal UI, then generates an interactive browser viewer and standard graph exports. The human-in-the-loop merge workflow and support for local providers (Ollama/LiteLLM) are smart, practical choices; just remember output quality and scale will still hinge on the LLM you pick.
Smart frame filtering plus knowledge graph extraction—useful but Fireflies.ai and Otter.ai exist.