Overview

Unstructured data is everywhere—sprawled across cloud buckets, trapped in document repositories, buried in enterprise apps—and most of it is a mess. Manual wrangling, brittle scripts, and disconnected pipelines only slow teams down. Unstructured connects to all your sources and transforms your files through the most advanced parsing pipelines available.

Join us for a deep dive into Unstructured’s source connectors: the fastest, most flexible way to bring your organization’s unstructured data into AI-ready pipelines. We explore how our connectors integrate directly with dozens of popular data sources so you can unlock the full value of your data without manual wrangling or brittle, one-off scripts.

In this session, you'll see how our connectors handle ingestion at scale, preserve critical metadata, and normalize content for downstream LLM and analytics workflows. Whether you’re building retrieval-augmented generation (RAG) systems, automating compliance tasks, or powering custom AI agents, you’ll learn how to connect, process, and operationalize your data in minutes, not months.

Technical Details

In this session, we walk through:

• How Unstructured source connectors integrate with cloud storage, enterprise apps, and document repositories.
• Real-world examples of connecting and ingesting data at scale without brittle, one-off scripts.
• How our parsing pipelines preserve metadata, normalize content, and make it AI-ready.
• Best practices for building retrieval-augmented generation (RAG) and analytics workflows.
• Tips for accelerating AI projects by unifying messy, siloed, and chaotic data.