databricks-unstructured-pdf-generation

To generate synthetic PDFs for RAG testing, this Skill uses the `generate_pdf_documents` MCP tool to create professional documents with LLM-generated content. It automatically uploads them to Databricks Unity Catalog Volumes for immediate use in retrieval-augmented generation workflows.

Synthetic PDF generation for unstructured data use cases is the automated creation of realistic documents and accompanying JSON metadata. It provides essential testing data, including questions and evaluation guidelines, to develop robust RAG systems without needing real-world data.

Yes, you can customize the number and size of generated PDF documents. The generation process supports configuration of document count, content size, and specific storage locations within your Databricks Unity Catalog Volumes.

Yes, Databricks Unity Catalog supports synthetic PDF metadata storage. The Skill automatically uploads both the generated PDF documents and their accompanying JSON metadata files directly to Unity Catalog Volumes for centralized management.

The best way to create evaluation data for RAG systems is generating synthetic PDFs with accompanying JSON files. This approach provides LLM-generated content alongside structured questions and evaluation guidelines, ensuring comprehensive testing coverage for unstructured data workflows.