unstructured-pdf-generation

What problem does it solve?

This Skill automates the creation of realistic synthetic PDF documents, which is crucial for testing and developing Retrieval-Augmented Generation (RAG) systems and handling unstructured data.

Core Features & Use Cases

• Synthetic PDF Generation: Creates professional PDF documents with LLM-generated content based on detailed descriptions.
• RAG Data Preparation: Generates accompanying JSON files with questions and evaluation guidelines, ideal for RAG testing.
• Automated Upload: Uploads generated PDFs and JSONs to Unity Catalog Volumes for easy access.
• Use Case: Generate 20 technical documentation PDFs for a new SaaS platform to populate a vector database for a RAG system.

Quick Start

Use the unstructured-pdf-generation skill to generate 10 technical documentation PDFs for a cloud infrastructure platform, saving them to the 'my_catalog' catalog and 'my_schema' schema.