EnterpriseRAG-Bench supplies a synthetic corpus of 500k documents across Slack, Gmail, Linear, Google Drive, HubSpot, Fireflies, GitHub, Jira and Confluence together with 500 questions spanning single-document lookup to conflict resolution and missing-information detection.
The probabilistic relevance framework: BM25 and beyond
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
RGAO combines retrieval-based complexity assessment with a formal budget algebra to enable dynamic topology selection in multi-agent code generation with provable conservation.
citing papers explorer
-
EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge
EnterpriseRAG-Bench supplies a synthetic corpus of 500k documents across Slack, Gmail, Linear, Google Drive, HubSpot, Fireflies, GitHub, Jira and Confluence together with 500 questions spanning single-document lookup to conflict resolution and missing-information detection.
-
Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation
RGAO combines retrieval-based complexity assessment with a formal budget algebra to enable dynamic topology selection in multi-agent code generation with provable conservation.