AWS Bedrock KB with Glue data catalog
The article outlines a technical workflow for integrating AWS Bedrock Knowledge Base with a Glue data catalog using a data pipeline involving S3, SQS, Glue, and Redshift. It provides step-by-step instructions to set up the architecture for querying structured data via an LLM. The demonstration uses sample CSV files to populate inventory data and trigger automated data crawling and indexing.
- ▪The architecture involves uploading CSVs to S3, triggering an SQS queue, crawling data with AWS Glue, and querying via Redshift and Bedrock Knowledge Base.
- ▪Environment setup includes configuring IAM roles, policies, S3 buckets, and Glue databases using Python scripts.
- ▪Sample inventory data is uploaded to S3 to trigger the Glue crawler, which populates a table in the Glue data catalog for downstream querying.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 593072) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shakir for AWS Community Builders Posted on May 3 AWS Bedrock KB with Glue data catalog #aws #sql #claude #ai Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Setup Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory.
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