To start using the Unstructured UI right away, skip ahead to the quickstarts now!

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What is the Unstructured UI?

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). Here is a screenshot of the Unstructured UI Start page: Partial view of the Unstructured UI This 90-second video provides a brief overview of the Unstructured UI:   Read the announcement.

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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.
The Auto partitioning strategy routes each file as a complete unit to the appropriate partitioning strategy (VLM, High Res, or Fast) based on the preceding file types. Additionally, for .pdf files, the Auto partitioning strategy routes these files’ pages on a page-by-page basis, as follows:
  • A page is routed to Fast when it contains only embedded text and no images or tables are detected.
  • All other kinds of pages are routed to VLM or High Res, depending on the complexity of a page’s content. Unstructured constantly optimizes its proprietary algorithm for routing to VLM or High Res in these cases.
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.

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What support is there for compliance?

The platform is designed for global reach with SOC2 Type 1, SOC2 Type 2, HIPAA, GDPR, and ISO 27001 compliance. It has support for over 50 languages. For details, see the Unstructured Trust Portal.

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How am I billed?

To use the Unstructured UI, you must have an Unstructured account for billing purposes. Unstructured offers several account types with different pricing plans:
  •   Starter - A single user, with a single workspace, hosted alongside other accounts on Unstructured’s cloud infrastructure.
  •   Team - Multiple users and workspaces, hosted alongside other accounts on Unstructured’s cloud instrastructure.
  •   Enterprise - Multiple users and workspaces, isolated from all other accounts, with two hosting options for additional security and control:
    •   Dedicated instance - Hosted within a virtual private cloud (VPC) running inside Unstructured’s cloud infrastructure.
    •   In-VPC - Hosted within your own VPC on your own cloud infrastructure.
    Enterprise accounts also allow for robust customization of Unstructured’s features for your unique needs.
For more details, see the Unstructured Pricing page. To upgrade your account from Starter to Team, or from Team to Enterprise, email Unstructured Sales at sales@unstructured.io. Some of these plans have billing details that are determined on a per-page basis. Unstructured calculates a page as follows:
  • For these file types, a page is a page, slide, or image: .pdf, .pptx, and .tiff.
  • For .docx files that have page metadata, Unstructured calculates the number of pages based on that metadata.
  • For all other file types, Unstructured calculates the number of pages as the file’s size divided by 100 KB.
  • For non-file data, Unstructured calculates a page as 100 KB of incoming data to be processed.

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How do I get started?

Skip ahead to the quickstart.

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Questions? Need help?