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Overview

Welcome to the Unstructured.io integration guide for Julep! This integration allows you to extract structured information from a wide variety of document formats, enabling you to build workflows that leverage advanced document processing capabilities. Whether you’re developing a document analysis system, creating a RAG pipeline, or need to convert unstructured documents into structured data, this guide will walk you through the setup and usage.

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Prerequisites

To use the Unstructured.io integration, you need an API key. You can obtain this key by signing up at Unstructured.io.

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How to Use the Integration

To get started with the Unstructured.io integration, follow these steps to configure and create a task:

1

Configure Your API Key

Add your API key to the tools section of your task. This will allow Julep to authenticate requests to Unstructured.io on your behalf.

2

Create Task Definition

Use the following YAML configuration to define your document parsing task:

Unstructured Example
name: Unstructured Document Processing Task
tools:
  - name: unstructured_processor
    type: integration
    integration:
      provider: unstructured
      method: parse
      setup:
        unstructured_api_key: "UNSTRUCTURED_API_KEY"
main:
  - tool: unstructured_processor
    arguments:
      file: document_base64 # this is a placeholder for the actual file
      filename: document.pdf # this is a placeholder for the actual filename
      partition_params:
        key1: value1 # these are placeholders for the actual parameters
        key2: value2 # these are placeholders for the actual parameters
3

Run Task

Deploy your task by creating a new execution.

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YAML Explanation

  • Remember to replace UNSTRUCTURED_API_KEY with your actual API key or use environment variables. For base64 encoded files, ensure your file is properly encoded before passing it to the integration.
  • Unstructured.io supports a wide range of file types including PDFs, Word documents, PowerPoint presentations, Excel spreadsheets, emails, HTML, images, and more. For a full list of supported file types, please refer to the Unstructured.io documentation.

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Conclusion

With the Unstructured.io integration, you can efficiently convert unstructured documents into structured data for analysis, search, and AI applications. This integration provides a powerful solution for document processing, enhancing your workflow’s capabilities and enabling advanced RAG (Retrieval-Augmented Generation) pipelines.

For more information, please refer to the Unstructured.io documentation.