---
title: "Discussion on \"Stop Overpaying for VectorDBs: Architecting Serverless RAG on AWS\" | Hashnode"
description: "Discussion on \"Stop Overpaying for VectorDBs: Architecting Serverless RAG on AWS\". Build a production-ready Retrieval-Augmented Generation pipeline using Amazon Bedrock, AWS Lambda, and OpenSearch Serverless while eliminating idle infrastructure costs."
url: "https://hashnode.com/posts/stop-overpaying-for-vectordbs-architecting-serverless-rag-on-aws/69b508dc210c74252fc77320"
---

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# [Stop Overpaying for VectorDBs: Architecting Serverless RAG on AWS](https://genaiguru.hashnode.dev/stop-overpaying-for-vectordbs-architecting-serverless-rag-on-aws?utm_source=hashnode&utm_medium=feed)

Build a production-ready Retrieval-Augmented Generation pipeline using Amazon Bedrock, AWS Lambda, and OpenSearch Serverless while eliminating idle infrastructure costs.

Mar 14 · 5 min read · genaiguru.hashnode.dev  
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-   [#aws](https://hashnode.com/tag/aws)
-   [#generative-ai](https://hashnode.com/tag/generative-ai)
-   [#serverless](https://hashnode.com/tag/serverless)
-   [#architecture](https://hashnode.com/tag/architecture)
-   [#startups](https://hashnode.com/tag/startups)
-   [#rag](https://hashnode.com/tag/rag)
-   [#opensearch](https://hashnode.com/tag/opensearch)

## Written by

[Dhananjay Lakkawar](https://hashnode.com/@lakkawardhananjay)

@lakkawardhananjay

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

Cloud Architect & AI Engineer. Building scalable systems on cloud.

AI/ Cloud Native Engineer passionate about the intersection of cloud and Modern AI. I focus on the hard parts of engineering: cost optimization, security at scale, and the architectural patterns required to move Generative AI from a messy notebook to a production-grade system. I write to document what actually works in production.

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