Automated README summary
Automatically summarized from the README on 29 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
A local RAG question-answering system for Chinese League of Legends patch notes. Numbers in answers come only from structured extraction of official notes, never from a generative model. Jev handles semantic uncertainty.
How it uses Jev
Jev makes four decisions: semantic slot filling when rules fail, hierarchical retrieval routing when uncertain, candidate reranking among retrieved rows, and answer verification checking if rendered claims are supported by evidence. Each role logs called/bypassed/fallback/failed.
Primitives:choicescore
Technique worth stealing
Deterministic-first: only invoke the model when rules cannot resolve a slot, keeping most queries at zero semantic calls.
Try it
Run python scripts/evaluate_routing.py --cases tests/cases/routing_effect_cases.json
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 projectFound in material0.71
- Shows a System One patternFound in material0.86
- Describes handling uncertaintynot found in the excerpt0.31
- Reports measured numbersnot found in the excerpt0.08
- Is a runnable toolFound in material0.77
- Top-10 learning shortlist signalFound in material0.64
- Is a replica of the modelnot found in the excerpt0.17
- Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
- About JevFound in material0.96
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 29 Sept 2026.