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RAG Jev

A local RAG workbench over Chinese League of Legends patch notes: every number comes from parsing the announcement, and Jev only reranks candidates and checks its own answer.

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Source screenshot of RAG Jev
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What it does

It also reports where Jev did not help — the rankers tie after metadata filtering, a measured threshold went unused, and Jev once pushed the right answer to second place.

How you can use it

You could adapt this approach for a game guide that needs precise numbers. A developer can see how it handles League of Legends patch notes. The tool filters text to find a specific game version. Then an outside AI service called Jev chooses the best match and double-checks the final answer.

Your developer needs an access key that connects the app to Jev. The AI does not write the game numbers. It only picks from your provided text, but the tool has limits. It missed one character update because the official announcement used general descriptions. The AI also occasionally pushed the correct answer to second place.

Maker-reported (not independently measured by JevMade): blind test 78 questions: single-value 40/40, retrieval hit@1 40/40, version correct 26/26, refusal 16/16 · Jev rerank 48/49 vs BM25 47/49 on the same 49 ambiguous candidate sets · self-check 40/40 in the blind set and 55/55 in the same-source set

Primitives
choice, noul
Platform
Python
Added
Project created

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