Overview

The Unstructured user interface (UI) is a no-code user interface, pay-as-you-go platform for transforming your unstructured data into data that is ready for Retrieval Augmented Generation (RAG).

To start using the Unstructured UI right away, skip ahead to the quickstart.

Here is a screenshot of the Unstructured UI Start page:

This 90-second video provides a brief overview of the Unstructured UI:

  Read the announcement.

How does it work?

To get your data RAG-ready, Unstructured moves it through the following process:

1. Connect

   Unstructured offers multiple source connectors to connect to your data in its existing location.

2. Route

   Routing determines which strategy Unstructured uses to transform your documents into Unstructured’s canonical JSON schema. Unstructured provides four partitioning strategies for document transformation, as follows.

   Unstructured recommends that you choose the Auto partitioning strategy in most cases. With Auto, Unstructured does all the heavy lifting, optimizing at runtime for the highest quality at the lowest cost page-by-page.

   You should consider the following additional strategies only if you are absolutely sure that your documents are of the same type. Each of the following strategies are best suited for specific situations. Choosing one of these strategies other than Auto for sets of documents of different types could produce undesirable results, including reduction in transformation quality.

   • VLM: For the highest-quality transformation of these file types: .bmp, .gif, .heic, .jpeg, .jpg, .pdf, .png, .tiff, and .webp.
   • High Res: For all other supported file types, and for the generation of bounding box coordinates.
   • Fast: For text-only documents.
3. Transform

   Your source document is transformed into Unstructured’s canonical JSON schema. Regardless of the input document, this JSON schema gives you a standardized output. It contains more than 20 elements, such as Header, Footer, Title, NarrativeText, Table, Image, and many more. Each document is wrapped in extensive metadata so you can understand languages, file types, sources, hierarchies, and much more.

4. Chunk

   Unstructured provides these chunking strategies:

   • Basic combines sequential elements up to specified size limits. Oversized elements are split, while tables are isolated and divided if necessary. Overlap between chunks is optional.
   • By Title uses semantic chunking, understands the layout of the document, and makes intelligent splits.
   • By Page attempts to preserve page boundaries when determining the chunks’ contents.
   • By Similarity uses an embedding model to identify topically similar sequential elements and combines them into chunks.
5. Enrich

   Images and tables can be optionally summarized. This generates enriched content around the images or tables that were parsed during the transformation process.

6. Embed

   Unstructured uses optional third-party embedding providers such as OpenAI.

7. Persist

   Unstructured offers multiple destination connectors, including all major vector databases.

To simplify this process and provide it as a no-code solution, Unstructured brings together these key concepts:

1. Source Connectors

   Source connectors to ingest your data into Unstructured for transformation.

2. Destination Connectors

   Destination connectors tell Unstructured where to write your transformed data to.

3. Workflow

   A workflow connects sources to destinations and provide chunking, embedding, and scheduling options.

4. Jobs

   Jobs enable you to monitor data transformation progress.

What support is there for compliance?

The platform is designed for global reach with SOC2 Type 1, SOC2 Type 2, and HIPAA compliance. It has support for over 50 languages.

How do I get started?

Skip ahead to the quickstart.

How do I get help?

Contact us directly, or join our Slack community.

For enterprise support, email Unstructured Sales at [e-mail].