Purpose
RAG-Fusion generates query variants and merges retrieval rankings with Reciprocal Rank Fusion to find material a single query may miss.
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Jev’s role
Jev is an optional reranker in the evaluation pipeline; its experiments require JEV_API_KEY. The original demo remains vector-only.
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How to use it
Compare retrieval strategies on NFCorpus with the evaluation harness; the hybrid pipeline combines BM25, vector search, fusion and reranking.
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Limits to consider
Query rewrites add latency. The README flags precision-sensitive workloads as poor fits and warns that an older results table predates a parser fix.
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Evidence checked:
Project facts
- Relationship to Jev
- Integration
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2023-09-25
- Last code update
- 2026-09-27
- GitHub stars
- 959
- Evidence checked
- Sep 30, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
Evidence commit: a9742c4aae95b097c1f715cf2350b569c9407872
Discovered through: github-search.
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