Jan 29, 2025
Production-Ready GenAI Data Pre Processing with Unstructured Platform
Unstructured
Unstructured
It’s common to underestimate the complexity of preparing unstructured data for large language models and vector databases. Many teams get caught up in optimizing Retrieval-Augmented Generation (RAG) architectures, but the truth is, no AI implementation succeeds without rock-solid data preprocessing as a foundation. Unstructured Platform has been designed to streamline the entire data preparation process, ensuring high-quality, structured, and context-aware data for AI systems. Today, we’re pulling back the curtain on the Unstructured Platform’s performance metrics to show why it’s the backbone of enterprise AI data pipelines.
Enterprise-Grade Reliability
For data engineers building production systems, reliability is a must. Every second of downtime could mean missed opportunities, frustrated users, and disrupted workflows. Unstructured Platform delivers carrier-grade uptime through our hosted solution, maintaining 99.99% availability measured across multiple recent two-week periods. Our architecture leverages multiple independent data plane deployments, enabling automatic failover capabilities. In the unlikely event of an outage impacting one data plane, your workloads can seamlessly continue running by failing over to another deployment, providing built-in disaster recovery without service interruption.
This ensures your data pipelines run smoothly around the clock. We're also continuously improving our monitoring capabilities and are working on implementing statuspage.io to provide more transparent uptime reporting.
But what about when the unexpected happens? Even the best systems can encounter issues, and that’s where our support team shines. With the 24/7 support at your disposal, we are ensuring minimal disruptions to your operations.
Processing Performance at Scale
Performance metrics reveal the true capability of a data processing platform. Unstructured Platform (hosted deployment) has demonstrated its ability to handle substantial workloads:
Complex PDFs? Bring them on. We split files up for concurrent processing in the background so that we can deliver performance at scale.
High-volume concurrency? Not a problem. We have confirmed that our hosted deployment supports up to 300 concurrent jobs per organization.
Event-driven data ingestion? Absolutely. Unstructured Platform can automatically detect and process new or modified files as they appear in configured data sources, enabling real-time data ingestion without manual intervention.
Diverse data types? Covered. From PDFs and Office documents to HTML and image-based content, we handle 60+ document types with ease.
Lots of docs in a single storage location? We got you! We regularly pressure test Unstructured Platform with 53000+ records in an individual job, and we’ve seen much larger jobs complete successfully in the wild.
Our customers not only automate their workflows but also reduce processing times from days to hours, from hours to minutes, allowing their team to focus on high-value tasks.
Deploying Unstructured Platform within your Virtual Private Cloud (VPC) unlocks even more possibilities. Performance scales infinitely based on your infrastructure capacity—making this type of deployment perfect for those who require absolute control not only over their data but also over the processing throughput and speed. With support for multiple data plane deployments, you can process data where it resides, eliminating the need to transfer large volumes of documents across regions or networks. This distributed architecture ensures optimal performance by keeping data processing close to the source while maintaining centralized management and control.
Size Limits? Think Big
We've processed everything from single-page documents to massive technical manuals. The platform effortlessly handles workloads of varying size:
15 millions of pages / hour per data plane
Batch jobs of up to 53000+ records
Concurrent processing of multiple large-scale jobs
Whether you’re building RAG over decades of technical manuals, regulatory filings, or business intelligence, Unstructured Platform scales to meet your demands.
Data Transformation Quality
Data transformation is the heart of any robust AI pipeline, and we don’t take shortcuts. Unlike benchmarks based on academic datasets, our metrics are derived from the toughest examples of real customer data. Our benchmarking methodology uses Clean Concatenated Text (CCT) testing, which measures how effectively each tool can transform complex documents into clean, properly structured text while maintaining the original content's integrity.
The CCT-accuracy score measures how well a tool can produce a clean, properly concatenated version of the document's text that maintains proper reading order and structure, while the CCT-%missing metric shows what percentage of the document's original text content is lost during processing. These metrics directly measure what matters most: the ability to transform complex documents into clean, structured text that downstream AI models can effectively process. Here are the latest results comparing Unstructured Platform’s VLM Partitioner and other industry tools:
Unstructured Platform provides high transformation quality through its intelligent processing pipelines. While it features powerful VLM capabilities with Claude Sonnet and GPT-4o for complex documents, not every document requires VLM partitioning. The Platform can intelligently route documents through specialized processing strategies, optimizing your workflows for speed and cost efficiency without compromising on quality. But what truly sets Unstructured Platform apart is its adaptability.
Should a better model or tool emerge for data transformation tomorrow, we can seamlessly integrate it into the platform at no additional cost to you. By prioritizing flexibility and incorporating innovation, we provide a future-proof solution that evolves alongside the rapidly changing landscape of AI.
Enterprise Integration Ready
Enterprise tools should integrate seamlessly—not feel like an extra project. That’s why we’ve made setting up workflows in Unstructured Platform straightforward:
Average workflow setup time across all users shows less than a minute for standard integrations.
Over 71 pre-built GenAI optimized source and destination connectors enable 1,250+ unique one-to-one pipelines between sources and destinations with exponentially more pipeline possibilities through combinatorial configurations of multiple sources and multiple destinations.
Beyond the Numbers: Enterprise Features That Matter
Performance metrics are critical, but they’re only part of the story. Unstructured Platform also delivers on the features enterprises need:
Compliance: SOC2 Type 2, HIPAA certifications and GDPR compliance in terms of data persistence ensure regulatory readiness.
Security: Zero data retention means your sensitive data remains in your control. Unstructured also implements rigorous security measures to protect your access credentials.
Flexibility: Support for air-gapped environments and (coming soon) role-based access control (RBAC) for enterprise-wide deployment.
These features translate to peace of mind, whether you’re operating in finance, healthcare, or any other regulated industry.
Real-World Impact
So, what does all this mean for your business? Let’s break it down:
Faster time to insights: Process new documents in near real-time with intelligent incremental updates.
Efficiency gains: Free up data scientists and engineers to focus on model optimization instead of wrangling data.
Security and compliance: Meet industry standards while keeping your data engineering team.
Ease of experimentation: Try different embedding models, VLM partitioning models, and enrichment models. Switch between them without disrupting your data pipelines. Our opinionated writes feature (coming soon) handles infrastructure adjustments for you when you switch embedding models by automatically creating new indices at your destination.
Conclusion
Building production-ready AI systems takes more than just SOTA LLMs—it demands reliable, scalable data preprocessing. Unstructured Platform’s performance metrics, enterprise-grade reliability, and compliance features make it the foundation for successful AI data pipelines.
Whether you're processing thousands or millions of documents, Unstructured Platform provides the foundation for your AI data pipeline, allowing you to focus on what matters most: delivering value through AI implementations. Try it yourself!
Ready to learn more about how Unstructured Platform can support your AI initiatives? Contact our team for a technical deep dive and custom proof-of-concept tailored to your use case: book your session.