Build Smarter RAG Pipelines with Vectorize and Amazon Bedrock
Building AI workflows shouldn’t require juggling infrastructure management, model selection, and scaling. With Vectorize, you can create and deploy retrieval-augmented generation (RAG) pipelines within minutes. Our integration with Amazon Bedrock makes it even easier to incorporate powerful foundation models directly into your pipelines.
Whether your AI applications generate content, answer questions, or analyze data, Vectorize automates interactions with Bedrock models—ensuring your workflows run smarter and faster without adding complexity.
Fast Setup, Powerful Results
Setting up AI workflows is fast and easy:
- Connect your AWS account to Vectorize.
- Select your preferred Bedrock model.
- Configure your RAG pipeline with just a few clicks—no complicated infrastructure required.
Once configured, your pipeline stays in sync automatically, letting you focus on building impactful applications instead of managing infrastructure.
Unified Workflows for Smarter Pipelines
Vectorize unifies your data and models into a single pipeline, simplifying every step of the process. For example:
- Use Amazon Bedrock foundation models to power your AI capabilities.
- Pull document data from OneDrive, Google Drive, or SharePoint.
- Incorporate customer conversations from platforms like Intercom.
The result? A unified, context-rich pipeline that’s easy to maintain and ready to scale.
Why It Matters
By eliminating infrastructure headaches, Vectorize and Amazon Bedrock empower you to focus on what matters: creating innovative AI solutions. Whether you’re experimenting with your first pipeline or scaling enterprise-grade applications, this integration brings simplicity and flexibility to every workflow.
Getting Started
Sign up for Vectorize and start building production-ready RAG pipelines with Amazon Bedrock today.