Repository History
2 repositories tagged with Reranking
rerankers: Unified API for Reranking and Cross-Encoder Models
rerankers is a lightweight, low-dependency Python library that provides a unified API for various reranking and cross-encoder models. It simplifies the integration of different reranking approaches into retrieval architectures, offering a consistent interface for diverse models like cross-encoders, RankGPT, T5, and API-based rerankers. This library aims to make reranking more accessible and easier to implement for developers.
Infinity: High-Throughput, Low-Latency Serving for Text Embeddings and Reranking
Infinity is a powerful, high-throughput, and low-latency REST API designed for serving various AI models, including text embeddings, reranking, and multi-modal models. It supports deploying any model from HuggingFace with fast inference backends optimized for diverse accelerators. This engine simplifies the deployment and usage of advanced AI models for developers.