An Open Benchmark for Testing RAG on Realistic Company-Internal Data

EnterpriseRAG-Bench launches as an open benchmark evaluating RAG pipelines against 500,000 synthetic enterprise documents spanning 9 realistic data sources including Slack, GitHub, Jira, and CRM systems. The harness scores 500 questions across correctness, completeness, and document recall metrics, with top systems like Anthropic achieving roughly 80 percent correctness versus sub-30 percent for weaker entrants. Unlike Wikipedia-derived benchmarks, the corpus simulates cross-source organizational coherence, directly targeting the retrieval failures practitioners encounter in production deployments. Engineers building internal knowledge assistants should treat this as a more honest stress test than existing public-data alternatives.