Building a Custom Knowledge Base with Amazon Bedrock - Part 1

🔍 Unlock the power of custom knowledge bases with Amazon Bedrock! This exciting tutorial series will walk you through building a tailored knowledge base from scratch. 📚
Part 1 kicks off with a deep dive into the prerequisites and setup. We'll show you how to:
- Gather and prepare your source documents (like blog posts in markdown format) 📑
- Set up a vector store using Amazon OpenSearch Serverless 🗄️
- Create a service role for Bedrock 🔐
Using CloudFormation, we'll programmatically create the necessary IAM roles and managed policies, enabling Bedrock to access essential services such as S3 and OpenSearch. 🛠️
Next, we'll deploy an S3 bucket to securely store your source documents and configure OpenSearch Serverless to serve as the vector database for your knowledge base. 🔒
Throughout the tutorial, we'll demonstrate how to use CloudFormation's import value function to seamlessly pass resource ARNs between stacks, ensuring your IAM role has the right permissions to access your S3 bucket and OpenSearch collection. 🔗
While we encounter a minor snag when deploying the OpenSearch resources, don't worry! We'll investigate the issue and provide a solution in the next video. 🕵️‍♂️
Subscribe and stay tuned for Part 2, where we'll conquer the deployment hurdle, ingest data into the knowledge base, and run test queries! 🎉

[@nobiaaaa]

This is so good a tutorial I subscribed right away!

[@brettg98]

@nobiaaa, I'm so glad you liked it. Thanks for the sub!