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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.
Watch this hands-on 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. The recording includes live Q&A with our leaders.
Don't miss this live event on Wednesday, June 11, 11 AM PT / 2 PM ET.
Register Now to attend the webinar From Surviving to Thriving With GenAI in Production: Lessons To Successfully Scale Your Data Layer.
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