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# Transforming solar and wind maintenance reports with genie and AI agents

**[databricks](https://daily.dev/sources/databricks)** · 6 min read · 0 upvotes · 0 comments

## Summary

Plenitude partnered with Databricks to convert unstructured solar and wind plant maintenance PDFs into a governed, queryable data layer. The pipeline uses ai_parse_document to extract text, tables, and metadata from PDFs, stores normalized records in Delta Lake, and exposes them through a Databricks Genie space with natural language querying. Agent Bricks enables repeatable agentic workflows for maintenance analysts. Key design patterns include rich Unity Catalog metadata, domain-specific instructions in the Genie knowledge store, automatic liquid clustering for agent-driven access patterns, and row-level security for country-based data access. The result enables cross-plant trend analysis, predictive maintenance signals, and structured exports — replacing manual per-report reading.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.databricks.com/blog/transforming-solar-and-wind-maintenance-reports-genie-and-ai-agents>

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---

Tags: [#nlp](https://daily.dev/tags/nlp), [#ai-agents](https://daily.dev/tags/ai-agents), [#databricks](https://daily.dev/tags/databricks)

[View this post on daily.dev](https://daily.dev/posts/transforming-solar-and-wind-maintenance-reports-with-genie-and-ai-agents-fsj8lesnf)

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