We are releasing Unstructured AI to the public.

We’ve designed this sophisticated Extract, Transform, Load (ETL) layer to help us process clients’ unstructured documents. Now, we’re making it available to other teams, regardless of whether they’ll use our other AI solutions — Unstructured AI is finally available as a standalone product.

It is designed to process complex unstructured document formats, like PDFs, DOCs, and CSVs, for RAG architectures and downstream GenAI applications.

We’ve seen great success using it for many client projects. Today, we consider it an indispensable partner in processing in-house unstructured data:

• Unstructured AI automatically cleans and normalizes data from various unstructured document formats. → Turning unstructured documents into high-quality data helps us skyrocket model performance, accuracy, and functionality in real-world settings.

• It minimizes the time spent on data prep. → Teams can focus on building and deploying AI solutions rather than getting bogged down by data wrangling tasks.

• It handles large volumes of unstructured data seamlessly. → Whether you're working with a small dataset or scaling up to enterprise-level data processing, Unstructured AI adapts to your needs.

Using it in your AI dev workflows can help you leverage your rich, unstructured data and build more valuable solutions in a fraction of the time.

Learn how it works:

Free Resources: Make Your Data AI & RAG-Ready

Your data is your most valuable AI asset.

Armed with insider knowledge from your data, your AI can perform tasks and make decisions using the same guidelines and processes as your best employees — whether that means making data-driven predictions, executing sequential tasks based on changing context, or something else.

Leverage your data and make your AI 10x more valuable with these free resources:

• What Is AI-Ready Data & Do You Already Have It?

• How to Prepare Data for AI

• RAG Pipeline Diagram: How to Augment LLMs With Your Data

• How to Build a RAG Pipeline

• How to Chunk Documents for RAG

See Also: AI Winners Have the Best Data, Not Algorithms, says Cory Janssen, Co-CEO at AltaML and Former Co-Founder of Investopedia