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title: Do Enormous LLM Context Windows Spell the End of RAG?
description: The increasing context window in large language models (LLMs) raises questions about the relevance of retrieval augmented generation (RAG). While RAG combines...
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og:description: The increasing context window in large language models (LLMs) raises questions about the relevance of retrieval augmented generation (RAG). While RAG combines...
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# Do Enormous LLM Context Windows Spell the End of RAG?

**[The New Stack](https://daily.dev/sources/newstack)** · 9 min read · 0 upvotes · 0 comments

## Summary

The increasing context window in large language models (LLMs) raises questions about the relevance of retrieval augmented generation (RAG). While RAG combines LLMs with external knowledge sources for more accurate responses, the longer context windows in LLMs can potentially lead to more accurate and contextually relevant answers without the need for RAG. However, RAG still persists due to its complex capabilities and ability to optimize performance and accuracy. Fine-tuning and long context windows have their own challenges and limitations compared to RAG.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/do-enormous-llm-context-windows-spell-the-end-of-rag/>

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---

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

[View this post on daily.dev](https://daily.dev/posts/do-enormous-llm-context-windows-spell-the-end-of-rag--ma8eq2c4w)

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