Automated README summary
Automatically summarized from the README on 16 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
RAGElo is a Python library and CLI that evaluates Retrieval Augmented Generation (RAG) question-answering agents by running tournament-style Elo rankings over answers from different pipelines and prompts.
How it uses Jev
Jev is not an LLM; it answers typed questions with probabilities and writes no reasoning. It works only with the jev, jev_rdnam, jev_pairwise, jev_rubric_pointwise, jev_rubric_pairwise and jev_rubric_coverage evaluators, storing the most likely label plus probabilities and confidence. jev_rdnam keeps Jev's expected grade; jev asks one yes/no question and stores the probability of a yes scaled to the top relevance grade.
Primitives:choicescore
Technique worth stealing
Batch up to batch_size documents, answers or games per request for about 40% fewer tokens.
Try it
pip install ragelo; set TYPESAFE_API_KEY; get_retrieval_evaluator("jev", llm_provider="typesafe")
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectnot found in the excerpt0.05
- Shows a System One patternnot found in the excerpt0.14
- Describes handling uncertaintynot found in the excerpt0.03
- Reports measured numbersnot found in the excerpt0.05
- Is a runnable toolunclear0.49
- Top-10 learning shortlist signalnot found in the excerpt0.06
- Is a replica of the modelnot found in the excerpt0.07
- Solves a common problem (0–2)score on a 0–2 scale1.54 / 2
- About JevFound in material0.75
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 16 Oct 2026.