arXiv CS
open access
GraphRAGProv: GraphRAG Meets How-Provenance
GraphRAG systems often use knowledge graphs to retrieve relevant context for an LLM that produces the final answer. That makes answers more inscrutable and therefore less appealing for domains where transparency is paramount. We present GraphRAGProv, an architecture that executes SPARQL queries over
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- GraphRAGProv: GraphRAG Meets How-Provenance#1468841
- GRBench: A Comprehensive Benchmark Evaluation for Graph-relational Data Management#622635
- Enabling Knowledge Graph Understanding at Scale with the EXplore Your Graphs ENgine (EXYGEN)#673529
- SPARQL-LLM in the TEXT2SPARQL 2026 Challenge#1298144
- PersonalAI 2.0: Enhancing knowledge graph traversal/retrieval with planning mechanism for Personalized LLM Agents#1035493
Record · ID 1473701
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive