Notice on Benchmarks & Ground Truth: All included sample datasets contain clearly labelled synthetic data for operational benchmarking and regression validation. Model-judged scores (groundedness and relevance) are generated via evaluation judges and are visibly distinguished from deterministic ground-truth label matches.
RAG Quality & Knowledge Operations
Continuous retrieval benchmarking, citation verification, stale knowledge detection, and reviewed documentation maintenance.
Benchmark Recall@K
100.0%Ground-Truth Labeled
Fraction of relevant chunks retrieved in top 5
Answer Groundedness
88.0%Evaluation Judge
Context faithfulness without hallucinations
Citation Coverage
95.0%Verified Sources
Proportion of expected citations resolved
Knowledge Freshness
100.0%0 sources tracked
Sources updated within staleness threshold
Recent Benchmark Evaluation Runs
Repeatable candidate vs baseline RAG evaluations
Monitored Knowledge Sources
Detect content drift and staleness across authoritative docs
Documentation Improvements
Human-reviewed edits proposal queue
Active Datasets
0 versioned benchmark sets