---
title: "Discussion on \"Building Domain-Specific AI with RAG: using Amazon Q, Bedrock, and LangChain\" | Hashnode"
description: "Discussion on \"Building Domain-Specific AI with RAG: using Amazon Q, Bedrock, and LangChain\". As organizations adopt Large Language Models(LLMs), one challenge keeps surfacing: how do you make them useful with your data?\nMost LLMs are trained on the internet, but internal documents, healthcare records, compliance policies, or financial report..."
url: "https://hashnode.com/posts/building-domain-specific-ai-with-rag-using-amazon-q-bedrock-and-langchain/6819edd39a0d1692d157d83d"
---

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Discussion

# [Building Domain-Specific AI with RAG: using Amazon Q, Bedrock, and LangChain](https://ragstack.hashnode.dev/building-domain-specific-ai-with-rag-using-amazon-q-bedrock-and-langchain?utm_source=hashnode&utm_medium=feed)

As organizations adopt Large Language Models(LLMs), one challenge keeps surfacing: how do you make them useful with your data? Most LLMs are trained on the internet, but internal documents, healthcare records, compliance policies, or financial report...

May 6, 2025 · 5 min read · ragstack.hashnode.dev  
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-   [#rag](https://hashnode.com/tag/rag)
-   [#aws-bedrock](https://hashnode.com/tag/aws-bedrock)
-   [#langchain](https://hashnode.com/tag/langchain)
-   [#aws-s3](https://hashnode.com/tag/aws-s3)
-   [#aws-kendra](https://hashnode.com/tag/aws-kendra)
-   [#aws-sagemaker](https://hashnode.com/tag/aws-sagemaker)
-   [#opensearch](https://hashnode.com/tag/opensearch)
-   [#aws](https://hashnode.com/tag/aws)

## Written by

[Maitry Patel](https://hashnode.com/@maitry20)

@maitry20

  
[View profile](https://hashnode.com/@maitry20)

"Turning data into decisions, one line of code at a time. 🚀"

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