📚 How to Evaluate Rerankers for Retrieval Optimization in RAG Pipelines #84
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New Documentation
This PR adds documentation extracted from a Slack Q&A thread.
Category: evals
Source: https://distylai.slack.com/archives/impl-tower-infobot/p1739987575183209
Preview
How to Evaluate Rerankers for Retrieval Optimization in RAG Pipelines
Overview
This guide explains the role of reranking models in retrieval-augmented generation (RAG) pipelines, how they compare to the current “retrieve many chunks and send them all to the large language model (LLM)” approach, and the key trade-offs to consider before adopting rerankers.
Prerequisites
Before using or evaluating rerankers, you should:
🤖 Auto-generated by slack-doc-bot