Introduction

Amazon Bedrock unifies access to models from Anthropic, Meta, Mistral, and Amazon in a single AWS-native API. Add retrieval, guardrails, and agents, and you have a one-stop option for building AI features in the AWS ecosystem.

Core Capabilities

Models and inference We compare leading models on Bedrock (Claude, Llama, etc.) for latency, cost, and use case—chat, code, long context, and so on.

RAG and knowledge bases Bedrock’s built-in RAG lets you point at S3 or other sources and get retrieval-augmented responses without managing vector DBs yourself. We walk through setup and limitations.

Agents and tools Agents can call Lambda, APIs, and other tools. We outline the agent lifecycle and how to keep execution predictable and observable.

Cost and Governance

Pricing is per token and per model. We share patterns for caching, model selection, and guardrails so you can scale usage without surprise bills or safety issues.