Create intelligent AI agents with Amazon Bedrock RAG pipeline and Pinecone Vector Database. Step-by-step tutorial for real-time, data-driven user interactions.
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Deploy RAG-based AI agents using Amazon Bedrock

Scalable, data-driven AI agents enable faster, more intuitive user interactions for your applications. In this tutorial, you’ll integrate Amazon Bedrock with Pinecone Vector Database to stand up an AI agent using a RAG pipeline in your AWS environment.

Learn how to configure a Pinecone index, sync data to an Amazon Bedrock Knowledge Base, and expose your agent via API for real-time interaction. See how quickly you can deliver smarter experiences using your own data.

Use RAG to power responsive, data-driven agents ›
 
 

In collaboration with
Pinecone

Pinecone

Try Pinecone Vector Database for free in AWS Marketplace.

Get started in AWS Marketplace ›
 
 

About AWS Marketplace


Visit AWS Marketplace for help finding the best solutions for your use case and add new capabilities to your tech stack with your AWS account:

  • Easily add capabilities into your AWS environment from category-leading AWS partners with free trials
  • Avoid upfront license fees and pay only for what you use, consolidating billing with your AWS account
  • Boost performance, security, and scalability while enabling new user experiences
 
 

In collaboration with

Amazon Web Services Marketplace