What is Amazon Bedrock?
Amazon Bedrock is a fully managed service for generative AI. Through a unified API, you get access to foundation models from Anthropic (Claude), OpenAI (GPT and Codex), Amazon (Nova family), Meta (Llama), Mistral, DeepSeek, Stability AI, and other providers. You can switch models without rewriting your application code.
Bedrock is serverless: you integrate text, image, video, and speech models into your applications without operating infrastructure or building in-house ML expertise. Your data stays in your AWS account.
Core Features
- Broad model choice: Claude, GPT, Amazon Nova, Llama, Mistral, DeepSeek, and more through one unified API, with built-in model evaluation tools
- Knowledge Bases: Retrieval Augmented Generation (RAG) with your own data sources like S3 or OpenSearch for context-aware responses
- Agents and AgentCore: A platform to build, connect, and operate autonomous AI agents that call your own APIs and tools
- Guardrails: Filters for unwanted content, protection of sensitive data, and checks for factual accuracy in responses
- Flows and Prompt Management: Orchestration of multi-step AI workflows plus management and versioning of prompts
- Customization and cost optimization: Fine-tuning, model distillation, prompt caching, and intelligent prompt routing reduce latency and cost
Typical Use Cases
Chatbots and Assistants: Claude, GPT, and Nova models for customer service and internal assistants. Knowledge Bases provide answers based on current company data.
AI Agents and Automation: With Agents and AgentCore you automate multi-step business processes. Agents call your systems through APIs and take actions independently.
Content Generation: Create marketing copy, product descriptions, code, and documentation automatically. Fine-tuning adapts the style to your requirements.
Document Analysis: Analyze, summarize, and extract information from contracts, reports, and documents. Bedrock Data Automation also processes unstructured content from documents, images, audio, and video.
Benefits
- No ML expertise required for integration
- Data stays in your AWS account and does not feed model training
- Flexible billing: on-demand, batch, provisioned throughput, and service tiers
- Model choice per requirement, without lock-in to a single provider
- EU regions, geographic inference profiles, and AWS European Sovereign Cloud for data sovereignty
Integration with innFactory
As an AWS Reseller, innFactory supports you with Amazon Bedrock: AI strategy, model selection, RAG implementation with Knowledge Bases, building AI agents, and securing applications with Guardrails. We integrate Bedrock into existing applications while accounting for EU data sovereignty and cost control.
Typical Use Cases
Frequently Asked Questions
Which foundation models does Bedrock offer?
Bedrock offers models from Anthropic (Claude), OpenAI (GPT and Codex), Amazon (Nova family), Meta (Llama), Mistral, DeepSeek, Stability AI, and other providers. The selection covers text, image, video, and speech models and is continuously expanded.
Is my data used for training?
No. Your inputs and outputs are not used to train the foundation models. Data remains in your AWS account and is not shared with model providers.
What are Knowledge Bases and Bedrock Agents?
Knowledge Bases enable Retrieval Augmented Generation (RAG): you connect your own data sources like S3 or OpenSearch to enrich models with company-specific knowledge. Bedrock Agents and AgentCore run multi-step tasks and call your own APIs and tools.
Is Bedrock available in the EU?
Yes. Bedrock is available in European regions such as Frankfurt (eu-central-1) and Ireland (eu-west-1). The geographic EU inference profile keeps processing within the EU. Bedrock is also available in the AWS European Sovereign Cloud, which has operated from Brandenburg, Germany since January 2026.
How is Bedrock billed?
Bedrock is usage-based. Options include on-demand per token, batch inference at a discount for asynchronous loads, provisioned throughput for reserved capacity, and service tiers (Standard, Flex, Priority). Prompt caching lowers cost for repeated inputs.
How does Bedrock keep AI output safe and compliant?
Bedrock Guardrails filter unwanted content, protect sensitive data, and check responses for factual accuracy. Combined with IAM, VPC connectivity, and CloudTrail logging, you can secure AI applications across the enterprise.