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Knowledge Graph

ProductionMind is an open-source, graph-native manufacturing intelligence platform that connects every machine, process, and decision across the industrial ecosystem. Built with a modular architecture, it enables predictive maintenance, digital twins, supply chain intelligence, quality optimization, and AI-driven manufacturing workflows through a unified knowledge graph. ProductionMind provides an open foundation for building adaptive, intelligent, and transparent manufacturing systems.

ERA Ontology / “ERA Vocabulary” means a Technical Document issued by the Agency pursuant to Article 4(8) of Directive (EU) 2016/797, establishing human and machine readable data definitions and presentations and linked quality and accuracy requirements for each data element (ontology) of the rail system.

The Agency shall ensure the ERA vocabulary is maintained to reflect regulatory and technical developments affecting the rail system.’

The GitLab Knowledge Graph project aims to create a structured, queryable graph database from code repositories to power AI features and enhance developer productivity.

Documentation

Roadmap

CodexAtlas – A hybrid AI platform connecting the world’s legal systems. Builds a global legal knowledge graph with internal predictive reasoning and public-facing summaries. Adaptable to any jurisdiction, ethically excludes juvenile matters, and supports research, education, and government analysis.

Chainly is an open-source AI-powered data flow intelligence system that traces what happens to user data after login events across the web. It builds evidence-based graphs of how information moves between first-party services, third-party vendors, and data brokers, revealing real-world data sharing that is often hidden behind privacy policies. By combining network tracing, graph analysis, and AI-driven entity resolution, Chainly turns invisible post-login data propagation into a transparent, auditable system.

ApolloCore is a self-contained, embeddable knowledge base that runs 100% locally with no external API dependencies. It combines vector search, keyword search, knowledge graphs, entity extraction, and LLM-powered query enhancement into a single high-performance C++23 library.

Graph-based Live Anomaly Detection on Semantic Streams

A Go-based Open Source Universal Memory server that exposes a Model Context Protocol (MCP) interface for LLM clients. It provides semantic document search (for user documents), agent memory management, and a knowledge graph - backed by PgVector or ChromaDB - enabling AI agents to store, retrieve, and interconnect knowledge across sessions.

A linter for RDF.

A lightweight RDF parser which streams triples directly from/to disk or standard input/output.

Flexible GraphRAG: Python, LlamaIndex (LangChain also coming) Docker Compose: 8 Property Graph dbs, 3 RDF graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, RDF ontologies, schemas, LLMs, document processing, Docling, LlamaParse, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular TypeScript frontends, FastAPI backend, REST API, MCP Server

ARSINOE SustainGraph (Knowledge Graph)

Materials and sample queries for the Practical Data Consumption Workshop at Rail Data Forum 2025.

Hypothesis Discovery on RDF Knowledge Graphs

Scientific knowledge representation, knowledge that originated from well designed experiments and sound statistical analysis. The dynamics of knowledge and the different levels of reliability are intended to be modeled.

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (KG-RAG).

Check: https://www.falkordb.com

This is a repository that contains the population of a Knowledge Graph where world wide news are automatically retrieved and interlinked with wikipages and enriched with metadata regarding the SDGs and the countries they refer to.