# Top reranking models to boost RAG accuracy in 2026

DevFeed: [Top reranking models to boost RAG accuracy in 2026](<https://devfeed.tech/articles/top-reranking-models-to-boost-rag-accuracy-in-2026-4857.md>)

Original publisher: [Read original article](<https://redis.io/blog/top-reranking-models-rag-accuracy/>)

Author: Jeff Mills

Published: 2026-07-26T00:00:00Z

Content type: tutorial

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Redis](<https://devfeed.tech/topics/redis.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [caching](<https://devfeed.tech/tags/caching.md>), [data](<https://devfeed.tech/tags/data.md>), [developer](<https://devfeed.tech/tags/developer.md>), [docs](<https://devfeed.tech/tags/docs.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [guide](<https://devfeed.tech/tags/guide.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llm](<https://devfeed.tech/tags/llm.md>), [memory](<https://devfeed.tech/tags/memory.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [performance](<https://devfeed.tech/tags/performance.md>), [production](<https://devfeed.tech/tags/production.md>), [rag](<https://devfeed.tech/tags/rag.md>), [redis](<https://devfeed.tech/tags/redis.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [retrieval-augmented-generation-rag](<https://devfeed.tech/tags/retrieval-augmented-generation-rag.md>), [search](<https://devfeed.tech/tags/search.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>)

## AI overview

This guide explains how reranking improves retrieval-augmented generation accuracy. It distinguishes fast first-stage retrieval from slower, precision-focused second-stage reranking, which reorders candidate chunks so relevant context reaches the LLM's high-attention positions. It also discusses cross-encoder rerankers, context rot, and Redis Iris for serving agent context.

## Source excerpt

Your Slack pings mid-afternoon: a product manager says the retrieval-augmented generation (RAG) assistant keeps citing a deprecated API version in its answers to developer questions. You pull the trace and find the retriever grabbed 50 chunks, with th...