Rerankers
Lightweight library for using reranking models to improve search results.
About
Rerankers is a lightweight Python library that provides one unified API for many reranking models, including cross-encoders, ColBERT-style late interaction, T5 rankers, and LLM-based rankers like RankGPT. Reranking reorders an initial set of search results to improve relevance, an important and often overlooked stage in retrieval and RAG pipelines. It lets you swap models without rewriting code. Developed by Ben Clavie at Answer.AI under the Apache 2.0 license.
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Details
- Category
- RAG & Document Retrieval
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- Apr 3, 2026
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