Join Elastic and Unstructured to learn the best practices for scaling high-quality GenAI applications fueled by your proprietary document data.
Watch Our Webinar
Developer Relations Engineer, Unstructured
Solutions Architect, Elastic
Great GenAI apps need tons of your unstructured data delivered in clean, canonical JSON. How you choose to build and manage your data layer is massively consequential to the success of your app, the efficiency of your team, and your stress level.
Done well, your data layer isn’t something you spend a lot of time thinking about. Grab data from wherever it lives, in any format, and clean JSON goes wherever your devs need it: aggregations, filters, RBAC tools, and BM25 or vector search. Done poorly, your data layer can become a rat's nest that saps your best engineering talent and keeps you up at night.
Join this live tutorial from engineering leaders at Unstructured and Elastic to help you build better GenAI data systems for your users. You’ll learn:
How to build streamlined ETL pipelines for your unstructured GenAI data
Parsing and chunking strategies that balance good/fast/affordable for your most complex documents
How to parse and search all your unstructured documents once data is within Elastic
Connecting your data to your downstream RAG application or training pipelines
You’ll see a code-level demo with step-by-step instructions to scale the value of your internal data. Then come ready for live Q&A with our leaders.
Everyone who registers will get a recording, so sign up if you can’t join us live.
