---
title: "Adaptive RAG explained: What to know in 2025"
url: https://daily.dev/posts/adaptive-rag-explained-what-to-know-in-2025-uwxy45fzc
source_url: https://www.meilisearch.com/blog/adaptive-rag
type: article
source: "Meilisearch"
published: 2025-09-10T07:21:34.000Z
updated: 2025-09-10T07:21:58.418Z
tags: ["ai", "llm", "rag", "meilisearch"]
reading_time: 17
upvotes: 11
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# Adaptive RAG explained: What to know in 2025

**[Meilisearch](https://daily.dev/sources/meilisearch)** · 17 min read · 11 upvotes · 0 comments

## Summary

Adaptive RAG improves upon traditional Retrieval-Augmented Generation by dynamically deciding when and how to retrieve information based on query complexity. Unlike standard RAG that blindly retrieves documents for every query, adaptive RAG analyzes questions first, skips retrieval for simple prompts, and uses multiple search strategies for complex queries. The approach includes query classification, strategy selection, and iterative retrieval, offering benefits like improved accuracy, better efficiency, and reduced hallucinations. Common applications include customer support systems, conversational AI, and knowledge management platforms.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.meilisearch.com/blog/adaptive-rag>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#meilisearch](https://daily.dev/tags/meilisearch)

[View this post on daily.dev](https://daily.dev/posts/adaptive-rag-explained-what-to-know-in-2025-uwxy45fzc)