VeritasGraph
An open-source knowledge graph and GraphRAG framework for building multi-hop reasoning and ontology-aware retrieval with verifiable attribution over your own data.
Tool overview
VeritasGraph is an open-source Python framework for constructing knowledge graphs and GraphRAG systems. It supports multi-hop reasoning, ontology-aware retrieval, and verifiable attribution, enabling structured querying of unstructured data with nodes, edges, and linked data.
Benefits: fully local or private-cloud deployment for data privacy, support for RDF, and the ability to answer complex, connected questions beyond vector search. Drawbacks include the need for graph modeling skills, self-managed infrastructure, and the absence of a SaaS option, which may be a barrier for some teams.
It suits developers and AI engineers in privacy-sensitive or domain-specific fields (like legal, healthcare) who need fine-grained control over retrieval and attribution. It is less ideal for those who prefer a turnkey solution. With 295 GitHub stars, it offers a cost-free base but requires infrastructure and expertise.