rag-with-rerank

What problem does it solve?

This Skill improves RAG accuracy by adding a reranking stage to retrieval pipelines, enabling more precise results when exact relevance matters.

Core Features & Use Cases

• Two-stage recall and rerank: Retrieve a broad set of candidates and apply a cross-encoder reranker to produce a short, high-quality result list.
• Domain-robust scoring: Works across legal, medical, finance, and other precision-critical domains by allowing model and language choices per use case.
• End-to-end pipeline generation: Integrates with generation components to deliver final answers after reranked candidates are scored.
• Use Case: In a high-stakes Q&A setting, such as regulatory compliance or clinical guidelines, the reranker reduces irrelevant results and improves trust.

Quick Start

To begin, activate the skill and provide a query. The system will fetch candidates, rerank them, and generate an answer using the configured models.