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Knowledge Graph

Graph-based Live Anomaly Detection on Semantic Streams

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

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)

Hypothesis Discovery on RDF Knowledge Graphs

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.

A multimodal knowledge graph about monuments in The Netherlands

a Data Semantics Project

Code and datasets used in the publication: Type-Constrained Representation Learning in Knowledge Graphs. Denis Krompass, Stephan Baier and Volker Tresp Proceedings of the 13th International Semantic Web Conference (ISWC). 2015