Rerankers

Lightweight library for using reranking models to improve search results.

Open SourceSelf HostedOffline Capable
0.0 (0)

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.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!

Details

Price
Free
Platform
Local/Desktop
Difficulty
Easy (2/5)
License
Apache-2.0
Added
Apr 3, 2026

Related Tools

Self-hosted application layer for LLMs with chat, RAG, web search, code execution, and agents.

Open SourceSelf HostedOffline
Intermediate
0.0 (0)

Open-source data extraction and indexing engine for RAG applications.

Open SourceSelf Hosted
Intermediate
0.0 (0)
Featured

Open-source embedding database for AI applications

Open SourceSelf HostedOffline
Beginner
0.0 (0)

Web scraping API that turns websites into clean LLM-ready markdown.

Open SourceSelf Hosted
Easy
0.0 (0)

Local RAG capabilities in GPT4All for chatting with documents privately.

Open SourceSelf HostedOffline
Beginner
0.0 (0)

Cloud-native vector database for scalable similarity search

Open SourceSelf HostedOffline
Advanced
0.0 (0)
Browse all RAG & Document Retrieval tools