The Aurelio SDK provides a streamlined interface to the Aurelio Platform’s document processing capabilities. It enables developers to extract, chunk, and embed textual content from various sources with minimal effort.

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What is Aurelio SDK?

Aurelio SDK is a Python library that abstracts the complexity of document processing pipelines. It offers both synchronous and asynchronous clients to interact with the Aurelio Platform.

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Core Capabilities

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Document Extraction

Extract text from multiple sources including:

  • PDF documents (local files or URLs)
  • Video files with automatic transcription
  • Web-based content

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Intelligent Chunking

Break down documents into meaningful segments using:

  • Semantic chunking that respects content boundaries
  • Configurable parameters for chunk size and overlap
  • Window-based processing for context preservation

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Embeddings Generation

Transform text into vector representations using:

  • Multiple embedding models including BM25
  • Batch processing for efficiency
  • Consistent vector formats for downstream applications

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When to Use Aurelio SDK

Aurelio SDK is particularly useful when:

  • Building document processing pipelines that require extraction and structuring of content
  • Implementing semantic search capabilities across large document collections
  • Preparing text data for large language model applications
  • Creating NLP workflows that need consistent text chunking and embedding

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Architecture

The SDK follows a client-based architecture:

This structure allows for clean separation of concerns, with the SDK handling authentication, request formatting, and response parsing, letting you focus on your application logic.

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Getting Started

To start using the SDK, continue to Quickstart Guide for installation instructions and basic usage examples.