awesome-knowledge-graph

Why we included this project

Knowledge graphs show up in a lot of modern data work, whether the goal is a semantic layer over your own data, a graph-backed RAG pipeline, or an ontology-driven application. Before you commit to a stack, this curated index is a fast way to see what the field actually offers. It gathers the learning materials, graph databases, and tooling you would otherwise have to track down across dozens of repos, so you can weigh options like Neo4j, RDF stores, and graph query engines side by side. The entries run from academic papers and tutorials to databases you could run in production, which makes the list most useful for developers and tech leads doing a broad survey or vendor research. One caveat: it is a curated resource, not a deployable tool, so treat it as a starting point for evaluation rather than something you install.