RAG on AWS Bedrock vs Oracle Cloud: Architecture, Trade-offs, and When to Choose Each
Series: Enterprise GenAI & RAG Architecture — Part 4 of 5
Two Very Different Approaches to Enterprise RAG
In Part 3, we covered Azure — the natural choice for Microsoft-heavy enterprises. Today we explore two more platforms: AWS Bedrock and Oracle Cloud Infrastructure (OCI). Each has a distinct architectural philosophy and a clear ‘best fit’ use case.
AWS Bedrock: Maximum flexibility. The broadest model catalog in the industry. Built for teams that want to experiment with multiple LLMs and use managed services to minimize operational overhead.
OCI Vector Search: Maximum efficiency for Oracle customers. Native vector support directly in Oracle Database 23ai — no separate vector database needed. SQL-native vector queries from day one.
Choosing a cloud for RAG is not about which is ‘best’. It is about which fits your existing infrastructure, team skills, and cost model.
AWS Implementation — Amazon Bedrock + OpenSearch
AWS Services
Requirement...
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