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AWS Solutions Library

Guidance for Building a Data Analyst Agent using Amazon Bedrock AgentCore

Overview

This Guidance demonstrates how organizations can overcome the challenge of making structured data accessible to non-technical users by enabling natural language querying across datasets using Amazon Bedrock AgentCore with intelligent agent-based processing. The system automatically processes uploaded data files to create searchable metadata with semantic understanding, allowing users to ask business questions in plain English through a secure web interface. When queries are submitted, the AI agent discovers the most relevant datasets and generates appropriate database queries, then uses advanced language models to interpret results and create visualizations that make complex data insights immediately understandable. You can transform your organization's data accessibility by empowering business users to get instant, accurate answers from complex datasets without requiring SQL knowledge or technical expertise.

Benefits

    Empower your analysts to find and query hundreds of datasets using natural language, replacing manual search with semantic AI-driven discovery across your entire data lake.

    Reduce time-to-insight by letting an AI agent automatically generate SQL queries, interpret results, and produce visualizations — so your teams focus on decisions, not data wrangling.

    Protect your data lake with built-in authentication, WAF-based threat protection, and managed infrastructure, so you can scale self-service analytics without compromising governance or security.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

Go to sample code

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

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