S3 Vectors for RAG: The Cheapest Vector Store for Bedrock Knowledge Bases with Terraform 💰

📰 Dev.to · Suhas Mallesh

Learn how to use S3 Vectors as a cost-effective vector store for Bedrock knowledge bases with Terraform, saving up to $700/month

intermediate Published 3 Mar 2026
Action Steps
  1. Set up an S3 bucket using Terraform to store vectors
  2. Configure S3 Vectors to work with your Bedrock knowledge base
  3. Compare costs with OpenSearch Serverless to determine savings
  4. Implement Terraform scripts to automate S3 Vectors deployment
  5. Test and validate the performance of S3 Vectors with your knowledge base
Who Needs to Know This

Data engineers and DevOps teams can benefit from this solution to reduce costs and improve efficiency in their knowledge base infrastructure

Key Insight

💡 S3 Vectors can be a cost-effective alternative to OpenSearch Serverless for vector storage in Bedrock knowledge bases

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💰 Cut costs with S3 Vectors for RAG! Save up to $700/month compared to OpenSearch Serverless

Key Takeaways

Learn how to use S3 Vectors as a cost-effective vector store for Bedrock knowledge bases with Terraform, saving up to $700/month

Full Article

OpenSearch Serverless costs a minimum of ~$700/month even at zero traffic. S3 Vectors cuts vector...
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