Reranking
by AaaS · open-source · Last verified 2026-03-01
Applies a cross-encoder or LLM-based reranker to refine initial retrieval results by scoring query-document pairs for relevance. Dramatically improves precision by promoting the most contextually relevant passages to the top of the result set.
https://aaas.blog/skill/reranking ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- cross-encoder-scoring, relevance-ranking, result-reordering, score-normalization
- Integrations
- cohere, langchain, llama-index, sentence-transformers
- Use Cases
- rag-precision, search-quality, document-qa, enterprise-search
- API Available
- No
- Difficulty
- intermediate
- Prerequisites
- semantic-search
- Supported Agents
- claude-code, devin
- Tags
- rag, reranking, relevance, retrieval, cross-encoder
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
61.3Adoption
70
Quality
84
Freshness
80
Citations
66
Engagement
0