Home icon

BMW Group unlocks insights from petabytes of data with agentic search on AWS

Industries Blog

This article describes how BMW Group developed an agentic search solution using AWS services to extract insights from 20 petabytes of data using natural language queries.

  • Combines Amazon S3 Vectors, Amazon Bedrock, and Amazon Bedrock AgentCore for intelligent data search
  • Three specialized search tools: hybrid search (semantic + SQL filtering), exhaustive search (comprehensive LLM evaluation), direct SQL queries
  • AI agent automatically selects optimal search strategy based on query characteristics
  • Serverless architecture using Lambda for data ingestion and vector embedding generation
  • Enables non-technical users to query structured and unstructured data via natural language
  • Processes 110 TB of daily data ingestion across BMW's Cloud Data Hub platform

BMW's solution demonstrates how combining semantic search with structured SQL queries and AI orchestration enables enterprise-scale data analytics without requiring technical expertise from end users.

Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Oct 14
2024
BMW Group fosters data-driven culture with a no-code generative AI data analytics solution on AWS
Oct 24
2025
How BMW Group Enhances Cloud Optimization With Generative AI on AWS
Apr 29
2025
How BMW Group built a serverless terabyte-scale data transformation architecture with dbt and Amazon Athena
Mar 15
2024
BMW Group Develops a GenAI Assistant to Accelerate Infrastructure Optimization on AWS

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.