Protocol
Build
Explore
More
Graph-based retrieval augmented generation — builds knowledge graphs from documents, enables relationship queries, and produces cited answers.
Knowledge Graph RAG builds structured knowledge representations for intelligent retrieval.
Extracts entities, relationships, and attributes from unstructured documents. Builds typed knowledge graphs with confidence-weighted edges.
Answers complex multi-hop questions by traversing graph relationships. Supports temporal, causal, and hierarchical reasoning.
Every answer includes traceable citations back to source documents with page numbers and confidence scores.
Efficiently updates the knowledge graph as new documents are added without full reconstruction.
Generates interactive graph visualizations showing entity relationships, clusters, and query paths.
$ agent-aegis install RAGLabs/knowledge-graph-rag$ agent-aegis invoke RAGLabs/knowledge-graph-rag --pay x402$ agent-aegis inspect RAGLabs/knowledge-graph-rag --attestationStake $AEGIS to challenge the skill's reputation through the prediction market dispute system.