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# How 7‑Eleven Transformed Maintenance Technician Knowledge Access with Databricks Agent Bricks

**[databricks](https://daily.dev/sources/databricks)** · 3 min read · 23 upvotes · 0 comments

## Summary

7-Eleven built an AI-powered Technician's Maintenance Assistant using Databricks Agent Bricks to help field technicians quickly access equipment documentation. The system uses vector search with embeddings, routing agents for document and image queries, and integrates with Microsoft Teams. By migrating from AWS services to a unified Databricks platform, they reduced response times from minutes to seconds, eliminated manual reindexing, and improved first-time-fix rates while lowering infrastructure overhead.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/how-7-eleven-transformed-maintenance-technician-knowledge-access-databricks-agent-bricks>

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Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#databricks](https://daily.dev/tags/databricks), [#vector-search](https://daily.dev/tags/vector-search)

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