Ontology-driven knowledge graph extraction from text

In plain words

TrustGraph is an AI tool that automatically builds knowledge graphs from text using OWL ontologies as a guide. Users provide an ontology in OWL or Turtle format, or create one in the built-in editor, and point it at their documents. The system extracts entities and relationships that conform to the defined schema rather than relying on generic language model interpretation. This approach suits professionals in healthcare, finance, and intelligence analysis who need domain-specific semantics captured accurately in their knowledge graphs.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

TrustGraph now supports automatic knowledge graph construction guided by OWL ontologies. You provide an ontology (OWL/Turtle format or build one in the Workbench editor), point it at your documents, and it extracts entities and relationships that conform to your schema. The problem this solves: generic GraphRAG…

• 
  TrustGraph – Do More with AI with Less (Open Source AI Infrastructure)2024 · github.com · ▲22

  Hi HN, We’re Daniel and Mark, the creators of TrustGraph (https://github.com/trustgraph-ai/trustgraph). TrustGraph is an open source, full end-to-end AI infrastructure that automates knowledge graph building and querying along with modular agent integration. A unique aspect of TrustGraph is that the graph building is a one-time process that builds reusable knowledge cores that can be stored, shared, and reloaded. You can read more about TrustGraph knowledge cores here (https://trustgraph.ai/docs/cores/). Throughout our careers, we’ve been faced…

• KG
  Knowledge graph of restaurants and chefs, built using LLMs2025 · theophilecantelob.re · ▲201

  Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…

• 
  A Karpathy-style LLM wiki your agents maintain (Markdown and Git)Apr 2026 · github.com · ▲260

  I shipped a wiki layer for AI agents that uses markdown + git as the source of truth, with a bleve (BM25) + SQLite index on top. No vector or graph db yet. It runs locally in ~/.wuphf/wiki/ and you can git clone it out if you want to take your knowledge with you. The shape is the one Karpathy has been circling for a while: an LLM-native knowledge substrate that agents both read from and write into, so context compounds across sessions rather than getting re-pasted every morning. Most implementations of that idea land on Postgres, pgvector, Neo4j, Kafka, and a dashboard. I…

• 
  Every great read I've come across, compiled into a knowledge graph2022 · prashantbarahi.com.np · ▲153

  The network graph that holds all the wonderful reads I've ever found on the internet.

• 
  Graphiti – LLM-Powered Temporal Knowledge Graphs2024 · github.com · ▲142

  Hey HN! We're Paul, Preston, and Daniel from Zep. We've just open-sourced Graphiti, a Python library for building temporal Knowledge Graphs using LLMs. Graphiti helps you create and query graphs that evolve over time. Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to build a knowledge graph while handling changing relationships and maintaining historical context. At Zep, we build a memory layer for LLM applications. Developers use Zep to recall relevant user information from past conversations without including the entire…

• 
  OntoCast – ontology-assisted KG generation2025 · github.com · ▲9

  Hey HN, I'm excited to announce a new release of OntoCast — an open-source framework for extracting semantic triples and building knowledge graphs (KG) from unstructured documents (PDF, JSON, Markdown, and more). Before extracting facts, OntoCast automatically selects or creates a relevant ontology and iteratively refines it, leading to much more accurate and context-aware fact extraction. This is especially valuable for cross-domain or complex documents where a static ontology falls short. - Agentic workflow: Uses LLMs (OpenAI/Ollama) to drive the extraction and ontology refinement…

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 18d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 18d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 20d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 21d ago · stillwet.art

• 
  PixVerse R2▲381

  A real-time world model you can explore and change

  AI · 30d ago · world.pixverse.video

• 
  Beam.win▲378

  Run AI agents on one Mac and use its windows on another

  AI · 4d ago · beam.win

• 
  Guideflow▲1,338

  Create interactive product demos and step-by-step guides in seconds with Guideflow, the leading AI-powered demo automation tool.

  AI · Nov 2025 · guideflow.com

• 
  I built a synth for my daughter▲1,278

  Hardware and software projects by Ali Roberts

  Life & fun · Nov 2025 · bitsnpieces.dev

• 
  Welltory▲1,028

  Measure your wellness. Use data to feel great every day.

  Work · Nov 2025 · welltory.com

• 
  Gemini 3▲1,016

  Bring any idea to life with multimodal capabilities

  AI · Nov 2025 · blog.google

• 
  TrustMRR▲833

  LLM Gateway is a b2b artificial intelligence based in United States, founded in 2025. $259,539/month in verified Stripe revenue. $78,764 MRR. Ahrefs Domain Rating 52/100. growing 55% month-over-month. Track LLM Gateway's verified metrics on TrustMRR.

  Growth · Nov 2025 · trustmrr.com

• 
  Boing▲782

  Life & fun · Nov 2025 · boing.greg.technology