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title: Why Your Chatbot Feels Dumb — And How RAG Fixes It
description: LLMs used in chatbots lack access to private, domain-specific data, causing confident but wrong answers. Retrieval-Augmented Generation (RAG) solves this by...
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# Why Your Chatbot Feels Dumb — And How RAG Fixes It

**[Medium](https://daily.dev/sources/medium_js)** · 4 min read · 0 upvotes · 0 comments

## Summary

LLMs used in chatbots lack access to private, domain-specific data, causing confident but wrong answers. Retrieval-Augmented Generation (RAG) solves this by retrieving relevant documents from a vector database and injecting them as context before the LLM generates a response. The post walks through the basic RAG flow — embedding a query, retrieving top-K documents, and prompting the LLM with that context — and notes that RAG can reduce hallucinations by 40–70%. It also warns that RAG amplifies data quality, so poor or outdated data still yields poor results.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://satyajeet-bansode.medium.com/why-your-chatbot-feels-dumb-and-how-rag-fixes-it-ba182eecbfce>

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---

Tags: [#llm](https://daily.dev/tags/llm), [#bots](https://daily.dev/tags/bots), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search)

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