From simple text-based files to crazy complex documents, learn to feed vector search and training pipelines with your unstructured data
Watch Our Webinar
Product Leader at Unstructured
Solutions Architect at Unstructured
Foundation models are getting boring. Agents and RAG are getting interesting. But nothing works without loads of good data in easy-to-use JSON formatting.
And there’s the rub: Your GenAI data layer is under-fed, and downstream apps are falling short of their potential because much of your best data is human-generated, locked up in PDFs, PowerPoints, Docs, and other awful-to-transform file types.
You’ll see a code-level demo with step-by-step instructions for unlocking the value of your internal data, then hear in-depth audience Q&A with our Product Leaders and Solutions Architects.
Watch this recording to learn how to accurately and efficiently transform your range of docs, including complex file types containing a mix of text, tables, figures, and images, into JSON:
How to build scalable ETL pipelines for LLMs with multiple sources and destinations across GenAI uses
Best practices for IT departments and technical leadership to enable every team with a GenAI data layer fueled by unstructured data
How to quantify the business impact of your GenAI applications across an organization for productivity and cost savings
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